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Current Research Activities at CUBSMainstream Research
Biometric Identification Fingerprint Verification Hand Geometry Signature Verification Speaker Recognition
Multimodal Biometrics Classifier Combination Information Fusion
Storage of Biometric Data 2D barcodes Smart cards
Materials and Light Sources Analog VLSI and Optical
Detectors
Exploratory Research
Large Scale Biometric Databases Indexing and binning Soft biometrics
Securing Biometric Data Template hiding Cancelable biometrics Personal Hashes
Biometric Hardening Novel Applications of Biometrics
Pervasive Computing Information assurance Biometric Encryption
Chemical/Biological Biometrics Skin spectroscopy Perspiration/odor
Teams
Fingerprints Sharat Chikkerur Chaohang Wu Alan Tjea {ssc5,cwu3,tjea}@cedar.buffalo.edu
Hand Geometry Amit Mhatre {ajmhatre}@cedar.buffalo.edu
Face Catalog Zhi Zhang Karthik Sridharan Sankalp Nayak {zhizhang,ks236,snayak}@buffalo.edu
Speech Accent Shamalee Deshpande {snd3}@cedar.buffalo.edu
Biometric Hardening Sharat Chikkerur Amit Mhatre
Large scale Databases Sharat Chikkerur Amit Mhatre Praveer Mansukhani
Skin biometrics Sarojini
Ramakrishnan {sr63}@cedar.buffalo.edu
Biometric Hashing Sergey Tulyakov Faisal Farooq {tulyakov}@cedar.buffalo.edu
Speaker ID Face Recognition Palmprint Skin biometrics Multimodal Biometrics Barcode
representation Pervasive Computing Information Assurance Biometric
Cryptography YOU!!
Packaged Device
Bright &Cartwright
Sensors(Materials
Development &Characterization)
Titus
Analog VLSI(Smart Systems)
Biometric Authentication
(PatternRecognition &
Analysis)
Govindaraju
Cartwright
Light Sources(Materials
Development & Characterization)
Faculty Collaboration
Intellectual Resources Faculty
Interdisciplinary Faculty Collaboration School of Engineering and Applied Sciences
Dept. of Computer Science and Engineering Dept. of Electrical Engineering
UB School of Arts and Sciences Dept. of Chemistry
UB Law School UB School of Medicine and Biomedical Sciences UB School of Informatics
Research Scientists Four full time research scientists
Students One Post-doc Ten Ph.D. students Five M.S. students
Material ResourcesHardware
Hand GeometryRecognition Systems:Hand GeometryPrototype acquisition and verification
FingerprintUltrascanTM ultrasound sensorE-PadTM capacitive sensorU.R.UTM optical sensor
SignatureE-PadTM digitizerLogitech digital pen
Infrastructure6,000 sq. ft of office space shared with CEDAR.Solaris and Intel Computers
FundingMore than 1M dollars in current grants
Industrial Collaboration
Handwriting Recognition INS Forms processing Biometric Fusion
‘Accuscript’ : Pen stroke dynamics
Hand Geometry Indexing and binning
Face recognition Soft biometrics
Industrial Collaboration
Unified Data Systems for Medical Rehabilitation
Disease surveillance Medical Form processing
AFIS Implementation Multi modal biometrics
Biometrics enabled smart cards
INHOUSE TRAINING IRELAND
Biometrics awareness training
Biometrics Definition
Biometrics is the science of verifying and establishing the identity of an individual through physiological features or behavioral traits
Examples Physical Biometrics
Fingerprint, Hand Geometry,Iris,Face Measurement Biometric Dependent on environment/interaction
Behavioral Biometrics Handwriting, Signature, Speech, Gait Performance/Temporal biometric Dependent on state of mind
Chemical Biometrics DNA, blood-glucose
Conventional Security Measures
Possession or Token Based Passport, IDs, Keys License ,Smart cards,Swipe cards, Credit Cards
Knowledge Based Username/password PIN
Combination of possession and knowledge ATM
Disadvantages of Conventional Measures Do not authenticate the user Tokens can be lost or misused Passwords can be forgotten Multiple tokens and passwords difficult to manage Repudiation
Need for biometrics Reliable authentication and authorization
Billions of dollars are lost in identity theft and fraud Common security measures authenticate the token
or password and not the user. Repudiation problems cannot be resolved even in the
face of well documented audit trails. Identity management
Managing multiple tokens, badges, usernames and passwords are cumbersome
Maintaining such personally Biometrics cannot be lost, forgotten or stolen*
Characteristics of Biometrics Universality
Each person should have the biometric Uniqueness
Any two persons should have distinctive characteristics Permanence
Characteristic should be invariant over time Collectability
Characteristic should be easy to acquire Acceptability
Is non-intrusive and accepted by a large population Non repudiation
User cannot deny having accessed the system
The Field of Biometrics Biometrics grew out of different fields
Speaker ID : Signal processing Face Recognition: Computer Vision Fingerprints : Forensics
Biometrics is the confluence of several disciplines Sensors: electrical and mechanical engineering Pattern recognition, probability and statistics Image processing and computer vision Signal processing Algorithms and databases
Uses of Biometric Systems
Physical access control Airports, Banks, Industry
Logical access control Computer/network logon, e-commerce
Preventing identity fraud Social security (double dipping), Immigration, Border
Control Information assurance
Audit trails, Biometric cryptography protocols Securing pervasive environments
Aspects of a Biometric Systems
Sensor and devices Types of sensors Electrical and mechanical design
Feature representation and matching Enhancement, preprocessing Developing invariant representations Developing matching algorithms
Evaluation Testing
System Issues Large Scale databases Securing Biometric Systems Ethical, Legal and Privacy Issues Ergonomics, usability
Applications And Scope of BiometricsTechnologies Horizontal Applications Key Vertical Markets
Fingerprint Civil ID Government Sector
Facial Recognition Surveillance and Screening Travel and Transportation
Iris Scan PC / Network Access Financial Sector
Middleware Retail / ATM / Point of Sale Health Care
AFIS Criminal ID Law Enforcement
Voice Scan eCommerce / Telephony
Hand Geometry Physical Access / Time and Attendance
Signature Verification
Keystroke Dynamics
