biometrics (1)

Overview

What is Biometrics? Types of Biometric Recognition. Applications of Biometric Systems. Types of Authentication. Constraints on Biometrics. Biometric Research at Clemson University.

What is Biometrics?

Automated method for recognizing individuals based on measurable biological and behavioral characteristics

Finger Print Recognition

Minutiae

Pattern Matching

Problems: sometimes unusable

Vascular Pattern Matching

LED infrared light

Fingers and back of hand

Not completely viable

Iris Recognition

Uses infrared light

Converts Images to vectors

Needs further development

Facial Recognition

Location and position of facial features

Dependent on background and lighting conditions

Voice Verification

Factors: pitch, intensity, quality and duration

Text dependent

Text independent

Problems: include background noise

Hand Geometry

Scan both sides of hand

Primarily used for verification

Not as accurate as other methods

Dynamic Signature

Factors: velocity, acceleration and speed

Mainly used for verification

Problems: forgers could reproduce

Retina Recognition

One of the most secure means of biometrics

Unique to each person

Unique to each eye

Problems: require effort on the part of subjects

Other Types

Keystroke

DNA

Commercial Applications

Computer login

Electronic Payment

ATMs

Record Protection

Government Applications

Passport control

Access Control

Forensic Applications

Missing Persons

Corpse identification

Criminal investigations

Type of Authentication

Authentication 1:1

Verification 1:N

Constraints on Biometrics

Typical “Constrained” Image

Constraints: Lighting Distance Pose Expression Time Lapse Occlusion

Biometrics Research at Clemson University.

Biometric and Pattern Recognition Lab

Goals:1. Usable Biometrics2. Unconstrained

Biometrics

Biometrics Research at Clemson

Aging Research

Biometrics Research at Clemson

Demographics Older vs. Younger Males vs. Females Geographic origin of

algorithms

Biometrics Research at Clemson

Periocular Region Recognition Texture, color, eye

shape Overcome facial

occlusion

Biometrics Research at Clemson

Ear Recognition Not affected by aging

or expression Covert collection of

images Little research

performed