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Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD

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Biometrics andPattern Recognition

Lab

Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD

Human Centered Computing Division

Clemson University, Spring 2010

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About Us

Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD

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Biometrics and Pattern Recognition Lab

Established in Summer 2006

Formerly the Image and Video Analysis Lab (IVAL)

In 2008, became part of the Center of Advanced Studies in Identity Sciences (CASIS) with CMU, UNCW, and NC A&T University.

Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD

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Biometrics?

Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD

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(Bio)(Metrics)

Bio◦Life

Metrics◦To measure

Biometrics:◦The science of identifying or authenticating an individual’s identity based on behavioural or physiological characteristics.

Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD

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Biometric CharacteristicsPhysical Characteristics◦Iris◦Retina◦Vein Pattern◦Hand Geometry◦Face◦Fingerprint

Behavioural Characteristics◦Keystroke dynamics◦Signature dynamics◦Voice◦Gait

Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD

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Why Biometrics?Eliminate memorization

◦Users don’t have to memorize features of their voice, face, eyes, or fingerprints

Eliminate misplaced tokens◦Users won’t forget to bring fingerprints to work

Can’t be delegated◦Users can’t lend fingers or faces to someone else

Often unique◦Save money and maintain database integrity by

eliminating duplicate enrollments

Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD

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Biometric System

Verification (1:1)

Identification (1:N)

Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD

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Purpose

Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD

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Two main research goalsTo produce:

1. Usable Biometrics It might have 100% performance, but if it isn’t

feasible in the real world, who cares?

2. Unconstrained Biometrics At present, good recognition rates depend on a

lot of variables being just right, or at least consistent

We would like to reduce the dependency or get rid of it altogether

Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD

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Constraints

Some common constraints are lighting, non-uniform distance, pose, expression, time lapse, occlusion

Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD

Typical image used in facial recognition

Unconstrained image

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Projects

Periocular Region Recognition

Feature Reduction using Computational Intelligence

Aging Effects on Facial Recognition

Effects of Demographics on Facial Recognition

Soft Biometrics

Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD

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Periocular Region Recognition

Relaxes image quality (location of iris, focus, blurring) on iris images

Could be used if more of the face is occluded

Currently looking at texture, color, and eye shape

Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD

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Feature Reduction using Computational Intelligence

General Regression Neural Network

(GRNN)

Reduce the size of the features to enable faster, more portable biometric applications

Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD

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Aging Effects on Facial Recognition

Looking at an image of a person, can we reliably predict◦what age they are?◦what they will look

like in so many years?◦or what they looked

like in the past?

Relaxes time lapse constraint

Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD

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Demographics

How do demographics affect recognition?◦Older easier to recognize than younger◦Males easier than females

Why do some algorithms work better on certain populations than others?

Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD

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Soft Biometrics

What if we don’t have enough information to identify the person?

We would like to know as much about them as possible: age, gender, ...

Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD

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Questions?

Clemson University School of Computing Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD