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8/6/2019 Classification of Images http://slidepdf.com/reader/full/classification-of-images 1/16 Classification of Images Module by: Scott Harrison , Jeremy Beasley , Brent Carroll , Richard Baraniuk . E-mail the authors User rating (How does the rating system work?) Ratings Ratings allow you to judge the quality of modules. If other users have ranked the module then its average rating is displayed below. Ratings are calculated on a scale from one star (Poor) to five stars (Excellent). How to rate a module Hover over the star that corresponds to the rating you wish to assign. Click on the star to add your rating. Your rating should be based on the quality of the content. You must have an account and be logged in to rate content. : (0 ratings) Summary: This is our group's scheme for classifying both our database and scanned library of fingerprint images. We discuss both signal processing methods and physical classification methods. Links [hide links] Prerequisite links y O  ptimization of Image Recognition: Fingerprint Matching Supplemental links y Cleared for Access y MATLAB Code Full Correlation

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Classification of Images

Module by: Scott Harrison, Jeremy Beasley, Brent Carroll, Richard Baraniuk . E-mail the

authors 

User rating (How does the rating system work?) Ratings

Ratings allow you to judge the quality of modules. If other users have ranked the module then

its average rating is displayed below. Ratings are calculated on a scale from one star (Poor) to

five stars (Excellent).

How to rate a module

Hover over the star that corresponds to the rating you wish to assign. Click on the star to add

your rating. Your rating should be based on the quality of the content. You must have an

account and be logged in to rate content.

:

(0 ratings)

Summary: This is our group's scheme for classifying both our database and scanned library of 

fingerprint images. We discuss both signal processing methods and physical classification

methods.

Links

[hide links]

Prerequisite links

y  O ptimization of Image Recognition: Fingerprint Matching 

Supplemental links

y  Cleared for Access 

y  MATLAB Code 

Full Correlation

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Full l i

 

Fi ure 1: Thi graph i  the result of full correlation bet een t o i ages.

 Now that we have tested both the ti e and frequency domains, we will look into ways the

 process can be optimi ed. The f irst method is similar to the FFT Method already discussed.

However, to improve the robustness of the process, a R otation Matr i can be added to themi . The second process involves non-signal processing procedures and classifying images

according to their physical proper ties.

Strai htforward Matchi through Signal Processing

The f irst method to improve the image matching process is the "FFT Method" already

discussed, with one ma jor addition: a R otation Matr i . Normal Four ier analysis only works intwo dimensions. However, a scanned inmage will, more of ten than not, be or iented at a

cer tain angle from the normal.

Improved Correlation

Using the li brary of Matlab f iles at our disposal, the scanned image is f irst "passed through"the rotational matr i  to get an array of matr ices. Each matr i  in this array corresponds to a

different angular or ientation. (The range of the angle can be user set.) From this point, eachmatr i  in the array is compared to the database image matr i . Again, like in the FFT Method,

the maximum point is obtained to f ind the point of highest correlation. The matr ix that contains the largest correlation is the angle that matches most closely to the database image.

The process follows these steps: 

FFT Method w/ Rotation Matrix 

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1.  Pass scanned image through a rotation matr ix of user set range2.  Place each resultant or ientation matr ix into an array

3.  Perform the FFT Method on each matr ix in the array, against the database image4.  Identify the maximum value (highest correlation) and the matr ix (image) that a

"match" would correspond to.

Like the other processes this method comes with both advantages and disadvantages: 

Properties of the Rotation + FFT Method

y  Advantages: Much more robust and likely to get a match compared to the regular FFT

method; Doesn't take as much time as Spatial Methody  Disadvantages: While it doesn't take as much time as the spatial method, it is slower 

than the basic FFT method. Also, as the number of increments in the angle rangeincrease, the slower this method gets. Has the potential to become slower than the

spatial method.

Classif ication by Physical PropertiesThe second form of optimi ing classif ication is k ind of a step in the opposiet direction from

ordinary signal processing. Whereas all the previous methods dealt with f ind the correlation  between two photos, this type of classif ication is a minutiae-based approach . This

classif ication separates f ingerpr ints into different types, as seen below.

Fingerprint Types

Figure 2: These are the different types of f ingerpr int pattersFrom the initial classif ication of the f ingerpr int as a cer tain type, the image is then broken

down into var ious components or proper ties. These minutiae are then compared to similar 

 proper ties of the database image.

Properties of a Fingerprint

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Properties of a Fingerprint

Figure 3: Proper ties of a f ingerpr int when using a minutiae-based

approach

Minutiae-Based Matching

Figure 4: When using a minutiae-based approach, individual proper ties

of the f ingerpr int are matched, instead of using the correlation of values.

In theory, when used in con junction with the R otation + FFT Method, the minutiae_basedapproach will speed up the indentif ication/ver if ication process. The idea behind this theory is,

that if an image is classif ied into a cetain type of f ingerpr int pattern, will only be compared to

images in the database of the same type. Then, the R otation + FFT Method can be performedon this subset of images, instead so compar ing the scanned image to the entire database.

Caveat:

The database must be large for this fusion of methods to produce faster results.

Properties of Minutiae-Based Method

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y  Advantages: Given the resources, this method is the best, with the highest matchingcapabilty; When used in con junction with Four ier methods, can speed up the

identif ication process.y  Disadvantages: Has a large dependence on the image quality and si e of the scanned

f ingerpr ints; Can be expensive in processor and monetary terms; Database must be

large in order for this process to be effective.

Additional Optimization

It has been shown how additional optimi ation schemes have hel ped distinct performancefeatures of our biometr ic authentication process: 

y  The frequency domain is the processing domain of choice due to the lower 

computational complexity thus greater computation speed.

y  The dynamic rotational matr ix utili es or ientation shif ts rather than ver tical and

hor i ontal shif ts. It was necessary to add this feature since the 2D-convolution is not a

very robust scheme consider ing or ientation shif ts in f ingerpr int placements. Although

this method is more complex since it has the complexity of N* (frequency domain)( = computational complexity), it is a more robust method ensur ing that carelessness

of the end user does not result in unwanted errors.

While the strengths of these pr imary optimi ation schemes are clear, another optimi ation

method was developed consider ing their weaknesses: deblurring method. What happens if an

image is scanned and the digital image is blurred such that the distinguishable r idges of the

f ingerpr int can no longer be extracted? R egardless of the computational advantages of the

other methods, it can be shown that this roadblock is dependent on the technology used to

implement the biometr ic solution. Therefore, a deblurr ing method was developed to hel p

minimi e the dependency of the scanning technology used. It is implemented by the

following steps: 

y   Noise is simulated with a point spread function using MATLAB motion blur.

y  Deconvolution of the image and the simulated noise is then performed to obtain a

³deblurred´ image.

It is clear that the advantage of this optimi ation is that blurred images will be restored to a

 better state so that they can be matched. However, it should be pointed out that this method is

not a cure-all for lack of appropr iate technology. While this method will correct cer tain noisecharacter istics, it is also dependent on the level of blur of the image and the simulation of the

noise of the image. Therefore deblurr ing optimi ation should not be a crutch of the biometr icsolution but rather another level of error precaution. Conclusively, each optimi ation

individually possesses distinct advantages over the other. However, given cer tain standard

resources (i.e. processing power, physical memory, etc.), a very robust biometr ic solution can be implemented with these optimi ation tools.

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13th INTERPOL Forensic Science Symposium, Lyon, France, October 16 -19 2001

The Detection and Enhancement of Latent FingerprintsDr Chris LennardForensic Services

Australian Federal PoliceGPO Box 401

Canberra, ACT 2601, Australia13th INTERPOL Forensic Science Symposium, Lyon, France, October 16 -19 2001INTRODUCTIONDespite advances made in areas such as DNA profiling, fingerprints are stillconsidered to be the best form of personal identification for criminal investigationpurposes. Fingerprint detection has improved significantly over the last 20 yearsdue to concerted efforts by a number of research groups around the world. Thepurpose of this presentation is to give an overview of the current techniquesavailable to law enforcement agencies for the routine detection and enhancementof latentfingermarks on different surfaces.Areas to be covered in this talk will include:

a general approach to fingerprint detection and enhancement; the importance of optical techniques and specialised light sources; the types of fingerprint evidence that may be encountered; the detection of fingerprints on porous surfaces; the detection of fingerprints on non -porous surfaces; fingerprint detection at the crime scene; sequencing of fingerprint detection techniques with other forensicprocedures; and, future prospects.GENERAL APPROACH TO FINGERPRINT DETECTION AND ENHANCEMENTA wide range of optical, physical and chemical techniques is available for thedetection and enhancement of latent fingermarks. The best results are generallyobtained if a logical sequence of techniques is applied. The application of morethanone technique or reagent can often increase the number of prints detected, or improve the quality of those already developed. However, it is imperative thateachprocess is applied in a systematic, predetermined order as the incorrect choice or application of one method can preclude the later use of another technique or lessenits effectiveness.For a given set of circumstances, the choice of the best detection techniques, or sequence of techniques, will depend on several factors that include: the nature of the surface (eg, porous, non -porous, rough or smooth); the presence of any particular contaminants (eg, blood);

environmental factors (eg, whether or not the surface is or has been wet);and, the likely age of any evidential finge rmarks.In any fingerprint detection sequence, heavy emphasis should be placed onopticaltechniques, as these are non -destructive and may significantly improve theresultsobtained by physical or chemical methods. Other techniques must be applied withcaution, and developed prints recorded at each opportunity, as fingermarks are

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fragile and readily destroyed.D2- 8613th INTERPOL Forensic Science Symposium, Lyon, France, October 16 -19 2001Several publications are available that describe systematic appr oaches tofingerprint development on different surfaces. These include: the UK Police Scientific Development Branch publications .Manual of 

Fingerprint Development Techniques. and .Fingerprint DevelopmentHandbook.; Lee and Gaensslen.s recent edi tion of .Advances in FingerprintTechnology.; and, Our own workshop manual on fingerprint detection and enhancement.(A limited number of copies of this publication are available at thissymposium and additional copies can be obtained directly from theAustralian Federal Police.)OPTICAL TECHNIQUES AND SPECIALISED LIGHT SOURCESThe simple observation of an object under white light may disclose a visible

fingermark that can be recorded without any f urther treatment. On the other hand,more complex optical detection methods may reveal otherwise invisible printsthatmay not be developed by other techniques. A fingerprint detection sequenceshouldalways start with optical techniques. In addition, prin ts developed using aphysicalor chemical process can generally be further enhanced using an appropriateopticalmethod depending on the characteristics of the treated marks (eg. colour or 

luminescence).The value of fingerprint luminescence has become wel l understood since it wasfirststudied in the late 1970.s. While latent fingermarks are rarely luminescent, anumber of modern detection techniques result in the generation of luminescent

prints. The heavy emphasis on luminescence is due to the much higher sensitivitythat can be achieved when compared to conventional processes that result in acoloured print.The application of luminescence techniques requires the use of high -intensitylightsources. While large, expensive, laboratory -based lasers were proposed in theearly1980.s for this work, there are now a number of versatile, cost -effectivealternativessuch as filtered arc lamps. Within the Australian Federal Police, our principal lightsource for fingerprint detection and enhancement is the Po lilight, an Australiansystem that resulted from AFP-funded research conducted in the 1980.s. This light

source is portable and provides a range of high -intensity light bands from theultraviolet through to the near infrared. In addition, each band can be fine-tunedthrough the tilting of high-quality interference filters built into the system. This

function has now been duplicated in other light sources on the market.Alternativesto the Polilight include the Spex, the Quaser, the Dactylight, and portable laserssuch as the Scene Sweeper. Lasers are restrictive in that they only operate at alimited number of wavelengths.D2- 87

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13th INTERPOL Forensic Science Symposium, Lyon, France, October 16 -19 2001Ultraviolet reflection techniques have proven to be use ful for detecting latentfingermarks on a number of surfaces. Unfortunately, UV imaging equipment is stillrelatively expensive and the technique requires the use of short -wavelength UVlight. This can be damaging to the skin and eyes, and prolonged use ma y interferewith any subsequent DNA profiling.

TYPES OF FINGERPRINT EVIDENCEThere are three main types of fingerprint evidence that may be present at a crimescene. The first is the indented (or moulded) fingermark, which is a 3 -dimentionalfingertip impression in a malleable substance such as putty or candle wax. Suchimpressions can generally be enhanced using oblique lighting. The second type isthevisiblefingermark, which may be positive or negative depending on whether thefingers were contaminated with a coloured material (such as blood), or whether coloured material (such as dust or soot) has been removed from the surface bythe

fingerprint ridges. Enhancement of such marks can often be achieved optically,depending on the proper ties of the contaminant in question. Blood is a specialcasewhere specific optical and chemical enhancement procedures exit.The most common type of fingerprint evidence, and the one that causes the mostproblem, is the latent fingermark. Such marks are l argely invisible, and generallyrequire some form of physical or chemical treatment to differentiate them from thesubstrate material. A typical latent fingerprint deposit is a complex mixture of natural secretions and contaminants from the environment. Kn owledge of themajor 

constituents of this deposit is essential for effective fingerprint detection.Consideration of how these constituents are affected by different environmentalconditions is also important.The detection of latent fingermarks is actuall y quite a challenging analyticalproblem. What is required is the detection of very small quantities of specific

chemical compounds. In general terms, fingerprint powders are the least sensitiveof the available techniques, with 500 to 1000 ng of material required in the latentmarkfor successful detection. Colour development using a chemical process such asninhydrin normally requires 100 to 200 ng of material. On the other hand,luminescence detection using a chemical reagent such as DFO is sensitive dow ntothe 1 to 10 ng range.Latent fingermark deposits behave differently on different substrate types. Inaddition, some detection techniques are effective on some surfaces but not onothers.

As a result, the surface type is a major consideration when sele cting a sequenceof fingerprint detection techniques for a particular set of circumstances.

D2- 8813th INTERPOL Forensic Science Symposium, Lyon, France, October 16 -19 2001DETECTION OF FINGERPRINTS ON POROUS SURFACESA typical sequence for porous surfaces such as paper and cardboard is given intheflow chart. Following the application of optical techniques, the choice of 

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development method will depend on whether or not the item has been wet. If theitem has been wet then water -soluble component of the latent fingerprint depositwill no longer be present. In such a case, physical developer will be the method of choice. In other cases, techniques that can be applied include DFO, ninhydrin, andmetal salt treatment. Physical developer can then be appl ied at the end of thesequence.

Ninhydrin is a chemical reagent that reacts with amino acids to give a dark purplecoloured product known as Ruhemann.s Purple. First proposed for fingerprintdevelopment in 1954, ninhydrin has become the most widely used technique for fingerprint detection on paper surfaces. The treatment generally involves dippingthe items in a ninhydrin solution and then leaving the prints to develop over 24 to48hours. Prints more that 50 years of age have been developed by this process.Over the last 30 years, different carrier solvents for ninhydrin formulations havebeen proposed, the most well known and the most successful being CFC -113,also

known as Arklone of Fluorisol. Being an ozone -depleting substance, this solventisno longer manufactured and its use is now prohibited in a large number of countries. Ideally the carrier solvent should be non -toxic, non-flammable, non-polar (so that ink running on documents in minimised), and relatively inexpen sive.Alternatives such as pentane or hexane are to be avoided due to their highflammability. As well as being flammable, solvents such as acetone causeexcessiveink running on treated documents. Several research groups around the world

havestudied CFC-replacement solvents such as HFE -7100 and HFC-4310 and a number of formulations based on these two alternatives are now in use. Unfortunately,bothof these solvents are expensive, which limits their use in some laboratories.

Fingermarks treated with ninhy drin can be further enhanced by treatment with azinc or cadmium salt solution. The coordination complex that is formed results inacolour change and gives a print that is luminescent under certain conditions. Atlowtemperature and with appropriate excitation from a high -intensity light sourceconsiderable fingerprint enhancement can be achieved.D2- 8913th INTERPOL Forensic Science Symposium, Lyon, France, October 16 -19 2001In 1990, the chemical reagent 1,8 -diaza-9-fluorenone, commonly known as DFO,became available as a more sensitive technique for fingerprint detection on paper.DFO reacts with amino acids in the latent fingermark in much the same manner as

forninhydrin. However, heat is required for successful development a nd thereaction product is much paler in colour than that achieved with ninhydrin. Theadvantage of DFO is that developed prints are highly luminescent at room

temperature without any additional treatment. Studies have shown that up to threetimes the number of fingerprints can be developed with DFO in comparison withninhydrin. DFO can be used before but not after ninhydrin processing. Thedisadvantages of DFO include the requirement for a specialised light source, therelative high cost of the reagent, an d the unsuitability of the technique for luminescent substrates.

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Physical developer is a technique that can be applied on porous surfaces thathavebeen wet or as an additional treatment after DFO and ninhydrin processing. PD isan aqueous solution similar to a silver-based photographic developer. When adocument is placed in the reagent, silver is deposited from the solution onto anylatentfingermarks that may be present. This deposition is catalysed by

waterinsolublecomponents of the deposit. Developed prints appear as dark grey imagesagainst a light grey background.The PD solution contains a ferrous/ferric redox system plus silver nitrate andcitricacid, stabilised by a surfactant. Once prepared, the solution is unstable an d has ashort shelf life. Although time -consuming to prepare and apply, PD can giveresultswhere other techniques are unsuccessful. Even if documents have not been wet,the

use of PD after DFO and ninhydrin is advised for all serious cases as it may revealaddition fingerprint detail.DETECTION OF FINGERPRINTS ON NON-POROUS SURFACESTypical non-porous surfaces include glass, plastic, metal, and gloss -paintedsurfaces.A range of techniques can be applied to such surfaces, with the main techniquesindicated in the flow chart. As for any fingerprint detection sequence, opticaltechniques should be employed before applying any other treatment. For fixedsurfaces at the crime scene, powdering is still entrenched as the primaryfingerprint

detection method despite its low sensitivity. For wet surfaces at the crime scene,small particle reagent can be employed as a wet powdering method applied with aspray. Items that can be transported should be returned to the lab oratory for processing. Cyanoacrylate fuming has, since the late 1970.s, become a popular laboratory-based technique for the routine treatment of non -porous surfaces.

Developed prints can be subsequently enhanced by the application of aluminescentstain. Alternatively, for laboratories where it is available, vacuum metal depositioncan be particularly effective for older prints or for difficult surfaces.D2- 9013th INTERPOL Forensic Science Symposium, Lyon, France, October 16 -19 2001Fingerprint powdering has changed little as a detection technique over the last 20years. It is still the most cost -effective method for treating fixed surfaces at acrimescene. A range of different powders and different brushes are available and thechoice generally comes down to personal preference based on experience.Aluminium flake powders have long been considered to be particularly effective,

while magnetic powders, applied using a magnetic wand, are considered to be theleast destructive. The recent development of iron flake powders has increased thesensitivity of magnetic powders. For multicoloured surfaces, a range of different

luminescent powders is available.Wet non-porous surfaces at a crime scene can be treated using small particlereagent, a suspension of molybdenum disulfide in a detergent solution. Thesuspension is generally applied with a spray and then rinsed with water to removeexcess powder. Developed prints are dark grey in powder. A white small particle

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reagent, based on zinc carbonate powder, has also been developed for darksurfaces.Cyanoacrylate esters, sold commercially as quick -setting .superglue., haveproveneffective for developing latent fingermarks on non -porous surfaces. The object istreated with cyanoacrylate vapour, resulting in the formation of a hard white

polymer on any latent print deposit that may be present. It is believed that thepolymerisation is catalysed by moisture and ionic material present in the deposit.Fuming with cyanoacrylate can be achieved by several means, from inexpensivehome-made chambers through to large, expensive commercial units. Portablefuming systems are also available. As apposed to development achieved atatmospheric pressure, a number of research groups have reported superior resultswhen cyanoacrylate development is conducted at reduced pressure.Contrast is often a problem with marks developed by cyanoacrylate fuming. Someform of enhancement is generally required. There are optical methods for 

enhancing such prints that should b e employed before any further processing.Contrast may then be improved by the application of a powder or, preferably, theapplication of a luminescent stain such as rhodamine 6G. Luminescent stainingcansignificantly enhance cyanoacrylate -develop prints.Probably the most sensitive technique for fingerprint detection on non -poroussurfaces such as glass and plastic is vacuum metal deposition. In this process,theitem is placed under vacuum and coated with thin layers of gold and zinc. Thedeposited gold penetrates the latent fingerprint deposit producing a uniform layer,

whereas the zinc will generally deposit on the substrate but not on the printridges.VMD units necessary for the application of this technique are expensive and their use requires signif icant experience for optimum results. When applied correctly,excellent results can be obtained even on old, degraded fingermarks.

D2- 9113th INTERPOL Forensic Science Symposium, Lyon, France, October 16 -19 2001VMD can be effective on difficult surfaces where other techniques fail. Polymer banknotes are in circulation in Australia and a number of other countries,includingNew Zealand, Malaysia, Indonesia, Thailand, and Singapore. This substrate,because of its semi-porous nature, has proven difficult for latent fingerprintdetection. Extensive research in our laboratory has determined that the bestsequence for fingerprint detection involves cyanoacrylate fuming followed byvacuum metal deposition and application of a luminescent stain. Prints more than6-months old have been developed using this sequence. Cyanoacrylate fuming

alonewill only detect prints that are up to one week old.FINGERPRINT DETECTION AT THE CRIME SCENE

The general approach to fingerprint detection at the crime scene is to applyopticaltechniques initially, to transport items back to the laboratory for processing wherepossible, and to treat the remaining surfaces with a suitable developmenttechnique(or sequence of techniques). For non -porous surfaces, fingerprint powders are

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traditionally the method of choice. Porous surfaces, such as wallpaper, can betreated with a ninhydrin solution. For scenes of a more serious nature, chemicalprocessing with a technique such as the iodine/benzoflavone spray may beconsidered. This technique can successful develop prints on a range of porous,semiporous,and non-porous surfaces. In addition, iodine/benzoflavone treatment does

not preclude subsequent powdering or ninhydrin treatment. At the end of thesequence, blood enhancement reagents (s uch as amido black) may be applied if blood marks are present.SEQUENCING OF FINGERPRINT DETECTION TECHNIQUES WITH OTHERFORENSIC PROCEDURESFingerprint detection should not be considered in isolation from other forms of forensic evidence. The effect of fingerprint treatment on other examinations mustbetaken into consideration. With respect to document examination, solvent -basedreagents such as ninhydrin and DFO may cause ink -running on treated

documentsand may destroy any indented impressions that may be present. A documentexaminer should be consulted before processing any documents that may requiredetailed document examination.D2- 9213th INTERPOL Forensic Science Symposium, Lyon, France, October 16 -19 2001The effect of different fingerprint treatments on DNA profiling is very topical andhas been the subject of many research projects using blood as the DNA source.For fingermarks in blood, we have found that only a small number of detection

methodsmay cause problems. For example, the prolonged use of short -wave UV light maydestroy any DNA evidence. Physical developer can significantly reduce thelikelihood of successful DNA profiling simply because of the number of washingsteps involved in the process. Magnetic powder m ay interfere with DNA

amplification. Otherwise, fingerprint treatment may simply lower the final DNAyield. The best advice is to consult with a forensic biologist before proceedingand, if possible, to collect a biological sample before processing the ite m for fingerprints.The effects of fingerprint processing on .trace. DNA has not been extensivelystudied and more research is required in this area. One such project is currentlyunder way in our laboratory.FUTURE PROSPECTSTo conclude this presentation, we believe that future prospects in the field of fingerprint detection and enhancement include the following:the replacement of ninhydrin and DFO with indanediones for fingerprint detection

on porous surfaces (as these compounds combine the ease of appli cation of ninhydrin and the sensitivity of DFO but at a potentially lower cost);the increased use of on-site optical and chemical enhancement techniques with

reliance on high-intensity specialised light sources and UV -imaging equipment;and,the increased use of digital recording and image enhancement techniques.These advances will be complimented by better information technology tofacilitate

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the remote, real-time searching of scene fingermarks against automatedfingerprintidentification systems.D2- 9313th INTERPOL Forensic Science Symposium, Lyon, France, October 16 -19 2001

Section on Hairs . Addendum to Biological Evidence ItemJames Robertson13th INTERPOL Forensic Science Symposium, Lyon, France, October 16 -19 2001A number of significant events have taken place since the 1998 symposium, inrelation to hair examination.The first book has been published (Robertson, 1999) which deals exclusively withthe forensic examination of hair. The contents include chapters on physiology andgrowth, forensic and microscopic examination, typing of DNA, elemental analysis,drug analysis, cosmetic treatment, and the evidential value of hair examination. Avery useful Atlas of Human Hair has also been published (Ogle & Fox, 1999).Thesetwo books are valuable resources for those seeking to learn more about the basisfor 

forensic hair examination.Technical guidelines for the forensic examination of hair have been produced bytheUS based Scientific Working Group for Materials Analysis (SWGMAT). The USNational Forensic Science and Technology Centre (NFSTC) are currently workingon an approach to produce physical standards and exemplars for hair featureswhich can be used for training and for proficiency testing. It is anticipated thesewill be available in 2002.There have only been a limited number of papers in the scientific literature dealingspecifically with microscopic based examination of hairs. Crocker (1998)describesa very simple technique for the rapid simultaneous examination of medullae andcuticular patterns of hairs. A useful paper by Linch et al (1998) evaluates humanhair root morphology for successful nuclear DNA typing. Linch and Prahlow(2001)review post-mortem changes observed at the proximal end of human head hair concluding that hair roots do not decompose after fresh removal from the scalpandexposure to the outside elements.Literature dealing with mitochondrial (mt) DNA is dealt with elsewhere in thisreview. With respect to hairs De Zinno et al (1999) review the typing of DNAderived from hairs with particular emphasis on mt -DNA. Allen et al (1998) discusssensitivity and matching probabilities for mt -DNA sequencing of shed hairs andsaliva from robbery caps. Jehaes et al (1998) evaluate a decontamination protocolfor hair shafts before mt-DNA sequencing. Baker et al (2001) discuss a saliva

basedmt-DNA extraction method applied to hair shafts and teeth. Fridey et al (1999)question the validity for the use of mt -DNA to individualise cats and dogs due tothevery high levels of heteroplasmy.D2- 9513th INTERPOL Forensic Science Symposium, Lyon, France, October 16 -19 2001A series of short reviews on hair appear in the Encyclopaedia of ForensicSciences

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(2000). Gandette presents an overview and papers on hair transfer, per sistenceandrecovery, identification of human and animal hair and on the significance of hair evidence. Bisbing discusses microscopic comparison and Yoshino et al, DNAtyping.These short papers give an excellent introduction to hairs. Kintz in the Drugs of 

Abuse section of the Encyclopaedia of Forensic Sciences discussed the use of hair for drug analysis. Drug analysis using hair is also reviewed by Tebbett in Chapter 5 of The Forensic Examination of Hair (Robertson, 2000). There have been numerouspapers dealing with different aspects of hairs as a medium for drug analysis.As this is outside the scope of this review these are not listed. From time to timepapers presented at the International Meeting of the Society of Hair Testing arepublished. The most recent compilation appeared in 2000 as a special edition of Forensic Science International, Volume 10, Parts 1-3, 1.394. Some other papers of interest include:

 ��Andrea et al, 1998, dealing with the transfer of animal hair during simulatedcriminal behaviour;

 ��

Panayiotou and Kokot, 1999, dealing with the use of FT -IR micro spectroscopyandchemometrics to match and discriminate single human scalp hairs;

 ��Prokopec et al, 2000, dealing with changes in hair pigmentation in young

children;

 ��Tanada et al, 1999, dealing with GC/MC analysis of oxidation dye components

inhairs; and

 ��Exline, 1998, dealing with the frequency of pubic hair transfer during sexualintercourse.This review does not include papers appearing in the general medical l iterature.However, one paper of special interest by Ahmad et al (1998) deals with amutationin the human hairless gene associated with one form of male pattern baldness.Finally, there have been a number of .discussion. fora in the worldwide web on thevalue of hair evidence and in relation to specific cases. Most of these are casesfromthe USA and relate to issues arising from rules of evidence relating to Daubert.In conclusion it is now clear that whilst mt -DNA is a useful addition to the armouryof the hair examiner it is an expensive technique and that microscopicexaminationwill remain as the core technique for hair examination. There is also a wider recognition of the need for more proficiency testing and greater standardisationand.tools.to place hair examination on a sounder science base to meet the challengesarising out of Daubert.

D2- 9613th INTERPOL Forensic Science Symposium, Lyon, France, October 16 -19 2001AHMAD, W., UL HAQUE, M. F., BRANCOLI, V., TSOU, H. B., UL HAQUE, S.,

LAM, H., AITA, V. M., OWEN, J., DE BLAQUIERE, W., FRANK, J.,LESERHALMI-FRIEDMAN, P. B., LEASK, A., MCGRATH, J. A., PEACOCKE,M., AHMAD, M., OTT, J. and CHRISTIANO, A. M., 1998,Alopecia Universalis Associated with a Mutation in the Human Hairless Gene,Science, 279, 720-724.ALLEN, M., ENGSTROM, A., MEYERS, S., HANDT, O., SALDEEN, T.,

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HAESELER, A., PAABO, S. and GYLLENSTEN, M., 1998,Mitochondrial DNA Sequencing of Shed Hairs and Saliva on RobberyCaps : Sensitivity and Matching Probabilities, J. Forens. Sci ., 43, 453-464.ANONYMOUS, 2000,Encyclopaedia of Forensic Sciences, in Siegel, J. A. (ed in chief) Saukku, P. J. andKuupfer, G. B. (eds), Hair , 999-1041 and, in Kintry, P. (ed.), Drugs of Abuse - Hair ,

640-645, London: Academic Press.ANONYMOUS, 1999,Forensic Human Hair Identification and Comparison Guidelines, ScientificWorking Group for Materials Analysis (SWGMAT).BAKER, L. E., MCCORMICK, W. F. and MATTESON, K. L., 2001,A Silica-Based Mitochondrial DNA Extraction Method Applied to Forensic Hair Shafts and Teeth, J. Forens. Sci ., 46, 126-130.CROCKER, E. J., 1998,A New Technique for the Rapid Simultaneous Examination of Medullae andCuticular Patterns of Hair, Microscope, 46, 169-173.

D.ANDREA, F., FRIDEY, F. and COQUOY, R., 1998,Preliminary Experiments on the Transfer of Animal Hair During SimulatedCriminal Behaviour, J. Forens. Sci ., 43, 1257-1258.DI ZINNO, J. A., WILSON, M. R. and BUDOWLE, B., 1999,Typing of DNA Derived from Hairs, in Robertson, J. (ed.), The Forensic Examination of Hair , Chapter 3, 155-174, London: Taylor & Francis.EXLINE, D. L., SMITH, F. P. and DREXLER, S. G., 1998,Frequency of Pubic Hair Transfer During Sexual Intercourse, J. Forens. Sci ., 43,505-508.FRIDEY, F., ROCHAT, S. and COQUOY, R., 1999,

Individual Identification of Cats and Dogs Using Mitochondrial DNA TandemRepeats, Sci . & J ust ., 39, 167-171.JEHAES, E., GILISSEN, A., CASSIMAN, J. and DECORTE, R., 1998,D2- 9713th INTERPOL Forensic Science Symposium, Lyon, France, October 16 -19 2001

Evaluation of a Decontamination Protocol for Hair Shafts Before mt -DNASequencing, Forens. Sci . Int ., 94, 65-71.LINCH, C. A. and PRAHLOW, J. A., 2001,Post-mortem Microscopic Changes Observed at the Human Head Hair ProximalEnd, J. Forens. Sci ., 46, 15-20.LINCH, C. A., SMITH, S. R. and PRAHLOW, J. A., 1998,Evaluation of Human Hair Root for DNA Typing Subsequent to MicroscopicComparison, J. Forens. Sci ., 43, 305-314.OGLE, R. R. and FOX, M. J., 1999,Atlas of Human Hair Microscopic Characteristics, Boca Raton: CRC Press.PANAYIOTOU, H. and KOKOT, S., 1999,Matching and Discrimination of Single Human Scalp Hairs by FT -IR

Microspectroscopy and Chemometrics,  Anal .C him. Acta., 392, 223-235.PROKOPEC, M., GLOSOVA, L. and UBELAKER, D. H., 2000,Change in Hair Pigmentation in Children from Birth to 5 Years in a Central

European Population, Forens. Sci . C omm., 2, 1-4.ROBERTSON, J, 1999, (ed.),The Forensic Examination of Hair , London: Taylor & Francis.TANADA, U., KASHIMURA, S., KAGEURA, M. and HARA, K., 1999,Practical GC/MS Analysis of Oxidation Dye Components in Hair Fibre as aForensic Investigative Procedure, J. Forens. Sci ., 44, 292-296.

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