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IRIS/RETINA IRIS/RETINA BIOMETRICS BIOMETRICS CPSC 4600@UTC/CSE CPSC 4600@UTC/CSE

IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

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Page 1: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

IRIS/RETINA BIOMETRICSIRIS/RETINA BIOMETRICS

CPSC 4600@UTC/CSECPSC 4600@UTC/CSE

Page 2: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Biometrics which analyze the complex and Biometrics which analyze the complex and unique characteristics of the eye can be unique characteristics of the eye can be divided into two different fields:divided into two different fields:– iris biometrics - iris is the colored band of iris biometrics - iris is the colored band of

tissue that surrounds the pupil of the eye. tissue that surrounds the pupil of the eye. – retina biometrics - retina is the layer of blood retina biometrics - retina is the layer of blood

vessels at the back of the eye. vessels at the back of the eye.

RETINA/IRIS BIOMETRICSRETINA/IRIS BIOMETRICS

Page 3: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Iris RecognitionIris Recognition

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Understanding Iris RecognitionUnderstanding Iris Recognition

The The irisiris is the area of the eye where the is the area of the eye where the pigmented or colored circle, usually brown or pigmented or colored circle, usually brown or blue, rings the dark pupil of the eye.blue, rings the dark pupil of the eye.

Iris scan biometricsIris scan biometrics employs the unique employs the unique characteristics and features of the human iris in characteristics and features of the human iris in order to verify the identity of an individual. order to verify the identity of an individual.

An iris recognition systemAn iris recognition system uses a video camera uses a video camera to capture the sample while the software to capture the sample while the software compares the resulting data against stored compares the resulting data against stored templates.templates.

Page 5: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

IrisIrisThe round opening in the center of the iris is called the pupil. The iris is embedded with tiny muscles that dilate (widen) and constrict (narrow) the pupil size. The sphincter muscle lies around the very edge of the pupil. In bright light, the sphincter contracts, causing the pupil to constrict. The dilator muscle runs radically through the iris, like spokes on a wheel. This muscle dilates the eye in dim lighting. The iris is flat and divides the front of the eye (anterior chamber) from the back of the eye (posterior chamber). Its color comes from microscopic pigment cells called melanin.The color, texture, and patterns of each person's iris are as unique as a fingerprint.

http://www.stlukeseye.com/anatomy/Iris.asp

Page 6: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Anatomy of the eye

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Iris

• Iris is the annular region of the eye responsible for controlling and directing light to the retina. It is bounded by the pupil and the sclera (white of the eye); iris is small (11 mm)

• Visual texture of the iris stabilizes during the first two years of life and carries distinctive information useful for identification

• Each iris is unique; even irises of identical twins are different

Page 8: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Advantages off Iris for Recognition

Believed to be stable over a person’s lifetimePattern is epigenetic (not genetically determined)Internal organ, highly protected and rarely damaged or changedIris patterns possess a high degree of randomnessImaging procedure is non-invasiveTemplate size is smallImage encoding and matching process is fast.

Page 9: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Stability of Iris Pattern

The iris begins to form in the third month of gestation, and the trabecular meshwork creating its pattern are largely complete by the eighth month.

Pigment accretion can continue into the first postnatal years. Iris color is determined mainly by the density ofmelanin pigment. Blue irises result from an absence of pigment.

“The available clinicalevidence indicates that the trabecular pattern itself is stable throughout the lifespan.”

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Iridology

“Throughout the ages, the eyes have been known as the windows to the soul, and modern behavioral research is proving this adage to be true. If you look closely at the iris of the eye, you will notice small, dark dots, light streaks or rounded openings in the fibers. These characteristics provide the key to unlocking the mysteries of the personality” (Rayid International).

Page 11: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Iridology

There is a popular belief in systematic changes in the iris pattern, reflecting the state of health of each of the organs in the body, one's mood or personality, and revealing one's future.Iridology resembles palm-reading and is popular in parts of Romania and in California (According to Daugman).“All scientific tests dismiss iridology as a medical fraud” – Berggren, L. (1985), “Iridology: A critical review”, Acta Ophthalmologica, 63(1): 1-8

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Iris under different lighting

Visible Light– Layers visible– Less texture information– Melanin absorbs visible light

Infrared Light– Melanin reflects most infrared

light– More texture is visible– Preferred for iris recognition

systems

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Infrared Iris Image

In infrared light, even dark brown eyes show rich iris texture

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Iris Capturing Devices

Different Cameras available:– Hand held– Wall mounted

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Deployment of Iris Recognition

The largest deployment of iris recognition systems is in the United Arab Emirates (17 air, land, and sea ports).3.8 billion comparisons are conducted each day; average time per match is only a fraction of a second.

Page 16: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Frequent Flyers (belonging to EU) are enrolled in the "Privium“ program at Schiphol Airport (NL), enabling them to enter The Netherlands without presenting their passports .

Page 17: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

• German Chancellor Gerhard Schroeder tests the iris recognition system used for automated passport control at Frankfurt's international airport, Europe's largest, in August 2004.• Up to 100 passengers use the service each day to bypass lengthy lines at regular security checkpoints.

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Condominium residents in Tokyo gain entry to the building using iris patterns, and the elevator is automatically called and programmed to bring them to their residential floor.

Page 19: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

The United Nations High Commission for Refugees administers cash grants to refugees returning to Afghanistan from surrounding countries after the fall of the Taleban, using iris patterns in lieu of any other forms of identification. More than 350,000 persons have so far been processed by this program using iris recognition.

Page 20: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Iris Representation Schema

Daugman– Gabor Demodulation (PAMI 1993)

Lim, Lee, Byeon, Kim– Wavelet Features (ETRIJ 2001)

Bae, Noh, Kim– Independent Component Analysis (AVBPA

2003)

Ma, Tan, Wang, Zhang– Key local variations (IEEE TIP 2004)

Page 21: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Daugman’s Approach

• J. Daugman, “Statistical Richness of Visual Phase Information: Update on Recognizing Persons by Iris Patterns”, International Journal of Computer Vision, 2001.• J. Daugman, “Biometric Personal Identification System Based On Iris Analysis”, US Patent 5291560, 1994

Page 22: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Iris Localization- Curvilinear Boundaries

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Detected Curvilinear Boundaries

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Intra-class Variations

Pupil Dilation(lighting changes)

Inconsistent Iris Size (distance from the camera)

Eye Rotation(head tilt)

Page 25: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Establishing Coordinate SystemDaugman’s Rubber Sheet Model

Centers of iris and pupil coincide Centers of iris and pupil do not coincide

The model remaps each point within the iris region to a pair of polar coordinates (r,θ) where r is in the interval [0,1] and θ is angle in [0,2π]

• The model compensates pupil dilation and size inconsistencies by producing a size- and translation-invariant representation in the polar coordinate system• The model does not compensate for rotational inconsistencies, which is accounted for during matching by shifting the iris templates in the θ direction until two iris templates are aligned.

Page 26: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Iris Feature Encoding

even symmetric odd symmetric

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A 1D illustration of the encoding process

A total of 2,048 bits, i.e. 256 bytes of information is extracted from the whole iris image

John Daugman’s personal website: http://www.cl.cam.ac.uk/users/jgd1000/

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Example of Iris Coding

Image size is 64 x 256 bytes and the iris code is 8 x 32bytes; Gabor filter size is 8 x 8

Iris Patterns”, International Journal of Computer Vision, 2001.

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Iris Code MatchingThe comparison is done by computing the Hamming distance between two 256-byte iris codesThe Hamming Distance between an iris code X and another code Y is the sum of disagreeing bits (sum of the exclusive-OR between) divided by N, the total number of bits in the pattern.

where N=2,048 (256 x 8) if there is no occlusion of the iris. Otherwise, only valid iris regions are used for computing the Hamming distance

* Daugman, J. ,"High confidence visual recognition of persons by a test of statistical independence." IEEE Trans. on PAMI, 1993

Page 30: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Hamming distance

If two patterns are derived from the same iris, the Hamming distance between them will be close to 0.0 due to high correlationIn order to account for rotational inconsistencies, one template is shifted left and right bit-wise and a number of Hamming distance values are calculated from successive shifts.The smallest Hamming distance is selected as it corresponds to the best match between two templates.

Page 31: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

An illustration of iris matching by code shifting

Page 32: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Distribution of Hamming Distances amongUnrelated Iris Codes

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Matching Score Distribution

The genuine and impostor Hamming distance distributions for about 2.3M comparisonsThere is hardly any overlap and hence one can choose a threshold such that there is very small probability of errorThis experiment shows that iris indeed is a very good biometric that can achieve very high performance.

J. Daugman (1993) "High confidence visual recognition of persons by a test of statistical independence." IEEE Trans. PAMI, vol. 15(11), pp. 1148-1161.

Matching Distance Distributions

Page 34: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

http://www.cl.cam.ac.uk/users/jgd1000/

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Limitations of Iris Limitations of Iris

Capturing an iris image involves cooperation from the user; user must stand at a predetermined distance and position in front of the cameraCost of high performance iris systems is relatively high

http://news.bbc.co.uk/1/hi/uk/1816221.stm

Page 36: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Limitations of Iris Limitations of Iris

Iris images may be of poor quality resulting in failures to enrollIn a recent test, up to 7% iris scans could still fail, due to anomalies such as watery eyes, long eyelashes or hard contact lenses.

Occlusion (eyelids/eyelashes) Defocus Motion

blurredLarge pupil

Page 37: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Limitations of IrisIris can change over time (e.g., as a result of eye disease), leading to false rejects. – more than 200,000 cataract operations are performed each year in UK– about 60,000 people in UK have Nystagmus (tremor of the eyes)– about 1,000 people in UK have Anaridia (no iris)

Blind people may fail the test

cataract surgery hyphaema(blood clot) iridodialysis

Page 38: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Anti-Spoofing Liveness Detection

Contact lens or photograph of a person's iris pattern can be used to spoof some iris recognition systems

Page 39: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

The Live VS. Printed Iris

The dot matrix printing process generates four points of spurious energy in the Fourier plane, corresponding to the directions and periodicities of coherence in the printing dot matrix, whereas anatural iris does not have these spurious coherences.

Page 40: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

The false acceptance rate for iris recognition systems is The false acceptance rate for iris recognition systems is 1 in 1.2 million, statistically better than the average 1 in 1.2 million, statistically better than the average fingerprint recognition system. fingerprint recognition system. The real benefit is in the false-rejection rate, a measure The real benefit is in the false-rejection rate, a measure of authenticated users who are rejected. of authenticated users who are rejected. Fingerprint scanners have a 3 percent false-rejection Fingerprint scanners have a 3 percent false-rejection rate, whereas iris scanning systems boast rates at the 0 rate, whereas iris scanning systems boast rates at the 0 percent level percent level Eyeglasses and contact lenses present no problems to Eyeglasses and contact lenses present no problems to the quality of the image and the iris-scan systems test for the quality of the image and the iris-scan systems test for a live eye by checking for the normal continuous a live eye by checking for the normal continuous fluctuation in pupil size. fluctuation in pupil size.

EffectivenessEffectiveness

Page 41: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Advantages of the Iris for Advantages of the Iris for IdentificationIdentification

Highly protected, internal organ of the eye Highly protected, internal organ of the eye Externally visible; patterns imaged from a Externally visible; patterns imaged from a distance distance Iris patterns possess a high degree of Iris patterns possess a high degree of randomness randomness Changing pupil size confirms natural physiology Changing pupil size confirms natural physiology Limited genetic penetrance of iris patterns Limited genetic penetrance of iris patterns Patterns apparently stable throughout life Patterns apparently stable throughout life Encoding and decision-making are tractable Encoding and decision-making are tractable

Page 42: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Disadvantages of the Iris for Disadvantages of the Iris for IdentificationIdentification

Small target (1 cm) to acquire from a distance (1 Small target (1 cm) to acquire from a distance (1 m) m) Moving target ...within another Moving target ...within another Located behind a curved, wet, reflecting surface Located behind a curved, wet, reflecting surface Obscured by eyelashes, lenses, reflections Obscured by eyelashes, lenses, reflections Partially occluded by eyelids, often drooping Partially occluded by eyelids, often drooping Deforms non-elastically as pupil changes size Deforms non-elastically as pupil changes size Illumination should not be visible or bright Illumination should not be visible or bright Some negative (Orwellian) connotations Some negative (Orwellian) connotations

Page 43: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

More about Iris BiometricsMore about Iris Biometrics

Iris Recognition Systems, Systems, Iris Recognition Systems, Systems, Evaluation, SurveysEvaluation, Surveys

http://www.visionbib.com/bibliography/people937e1.html

Page 44: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

RetinaRetina

Page 45: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

RetinaRetinaThe The retinaretina is a thin layer of cells at the back of the eyeball is a thin layer of cells at the back of the eyeball of vertebrates.of vertebrates.It is the part of the eye which converts light into nervous It is the part of the eye which converts light into nervous signals.signals.The retina contains photoreceptor cells (rods and cones) The retina contains photoreceptor cells (rods and cones) which receive the light; the resulting neural signals then which receive the light; the resulting neural signals then undergo complex processing by other neurons of the undergo complex processing by other neurons of the retina, and are transformed into action potentials in retinal retina, and are transformed into action potentials in retinal ganglion cells whose axons form the optic nerve. ganglion cells whose axons form the optic nerve. The retina not only detects light, it also plays a significant The retina not only detects light, it also plays a significant part in visual perception. part in visual perception. In embryonal development, the retina and the optic nerve In embryonal development, the retina and the optic nerve originate as outgrowths of the brain.originate as outgrowths of the brain.The unique structure of the blood vessels in the retina has The unique structure of the blood vessels in the retina has been used for biometric identification.been used for biometric identification.

Page 46: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different
Page 47: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

To brain

The retina, in the back of your eye, has cells that are sensitive to light. They connect directly to your brain.

Rods sense brightness Cones sense color

Page 48: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Retinal Recognition System (1)Retinal Recognition System (1)

Retina scans are performed by directing a low-intensity Retina scans are performed by directing a low-intensity infrared light to capture the unique retina characteristics.infrared light to capture the unique retina characteristics.An area known as the face, situated at the center of the An area known as the face, situated at the center of the retina, is scanned  and the unique pattern of the blood retina, is scanned  and the unique pattern of the blood vessels is captured. vessels is captured. Retina recognitionRetina recognition technology captures and analyzes the technology captures and analyzes the patterns of blood vessels on the thin nerve on the back patterns of blood vessels on the thin nerve on the back of the eyeball that processes light entering through the of the eyeball that processes light entering through the pupil. Retinal patterns are highly distinctive traits. pupil. Retinal patterns are highly distinctive traits. Every eye has its own totally unique pattern of blood Every eye has its own totally unique pattern of blood vessels; even the eyes of identical twins are distinct. vessels; even the eyes of identical twins are distinct. Although each pattern normally remains stable over a Although each pattern normally remains stable over a person’s lifetime, it can be affected by disease such as person’s lifetime, it can be affected by disease such as glaucoma, diabetes, high blood pressure, and glaucoma, diabetes, high blood pressure, and autoimmune deficiency syndrome. autoimmune deficiency syndrome.

Page 49: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Retinal Recognition System (2)Retinal Recognition System (2)

Retina biometrics is considered to be one of the best Retina biometrics is considered to be one of the best biometric performers. biometric performers. However, despite its accuracy, this technique is often However, despite its accuracy, this technique is often thought to be inconvenient and intrusive. And so, it is thought to be inconvenient and intrusive. And so, it is difficult to gain general acceptance by the end user. difficult to gain general acceptance by the end user. Eye and retinal scanner are ineffectual with the blind and Eye and retinal scanner are ineffectual with the blind and those who have cataracts.those who have cataracts.The fact that the retina is small, internal, and difficult to The fact that the retina is small, internal, and difficult to measure makes capturing its image more difficult than measure makes capturing its image more difficult than most biometric technologies. An individual must position most biometric technologies. An individual must position the eye very close to the lens of the retina-scan device, the eye very close to the lens of the retina-scan device, gaze directly into the lens, and remain perfectly still while gaze directly into the lens, and remain perfectly still while focusing on a revolving light while a small camera scans focusing on a revolving light while a small camera scans the retina through the pupil. the retina through the pupil.

Page 50: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

Any movement can interfere with the process and can Any movement can interfere with the process and can require restarting. Enrollment can easily take more than require restarting. Enrollment can easily take more than a minute. The generated template is only 96 bytes, one a minute. The generated template is only 96 bytes, one of the smallest of the biometric technologies. of the smallest of the biometric technologies. It is one of the most accurate and most reliable of the It is one of the most accurate and most reliable of the biometric technologies, and it is used for access control biometric technologies, and it is used for access control in government and military environments that require in government and military environments that require very high security, such as nuclear weapons and very high security, such as nuclear weapons and research sites. research sites. However, the great degree of effort and cooperation However, the great degree of effort and cooperation required of users has made it one of the least deployed required of users has made it one of the least deployed of all the biometric technologies. Newer, faster, better of all the biometric technologies. Newer, faster, better retina recognition technologies are being developed.retina recognition technologies are being developed.

Retinal Recognition System (3)Retinal Recognition System (3)

Page 51: IRIS/RETINA BIOMETRICS CPSC 4600@UTC/CSE. Biometrics which analyze the complex and unique characteristics of the eye can be divided into two different

More about Retina BiometricsMore about Retina Biometrics

Apparatus and method for identifying Apparatus and method for identifying individuals through their retinal vasculature individuals through their retinal vasculature patterns patterns

United States Patent 4109237 United States Patent 4109237

http://www.freepatentsonline.com/http://www.freepatentsonline.com/4109237.html 4109237.html