EXAMPLE CLASS – IT 54500

•This course examines biometric technology as it relates to security, access control, and the authentication of individuals.

COURSE OVERVIEW

• Introduction to biometrics, examining basic terminology

• Understanding of biometric modalities, potential uses, concentrating on the applied nature, to enable business practitioners to understand how biometric modalities work

• Evaluation and analysis of biometric data, and interpretation of data

• Critiquing media on biometrics, and understanding misconceptions for integration

• Conducting analysis, answering challenges

• Understand the role of biometric standards

• Recall the main biometric vendors and understand the state of the art products

LEARNING OBJECTIVES

•Main course activities

•Class project

• Individual project

•Dissemination

COURSE LAYOUT

•Each course is divided up into building blocks, including

• Fundamentals

• Modalities

• Integration

• Research

BUILDING BLOCKS

• Overview of the historical events

• Identification

• General Biometric Model

• Decision Making, Identification and Verification

• Seven biometric attributes

• Ten system attributes

• Biometric integration

• Biometric matching errors

• Introduction to performance

FUNDAMENTAL BUILDING BLOCKS

•Four module blocks that cover fingerprint, face, iris, and others

MODALITIES BUILDING BLOCKS

• Introduction to fingerprint recognition, including the formation of fingerprints, skin anatomy, Henry classifications, and global and local features

• Historical players and key events

• Feature recognition and extraction

• Sensors

• Deployments

FINGERPRINT RECOGNITION

•Structure of the eye

•Deployments

•Enrollment challenges

•Components of the eye

•Acquisition technology

• Image quality

IRIS RECOGNITION

•History

•General concepts

•Feature extraction

•Performance

•Acquisition

FACE RECOGNITION

• Corneal topography

• Ear recognition

• Retina recognition

• Dynamic signature verification

• Dynamic signature forgery

• Hand geometry

• Vein sensors

OTHER BIOMETRIC MODALITIES

•Four modules that provide an overview to accessing and integrating biometrics

INTEGRATION BUILDING BLOCKS

• Enrollment

• Genuine and impostor distributions

• Score histograms

• Threshold

• ROC and DET

• Calculation of EER

• Interpretation of performance reports

BIOMETRIC MATCHING BASICS

•Historical context

•Basic definitions

•Token HBSI

•False claim HBSI

•Attack presentation HBSI

HUMAN BIOMETRIC SENSOR INTERACTION

•Overview of biometric fusion

•Multi-sensor biometric fusion

•Multi-algorithm biometric fusion

•Multi-instance biometric fusion

•Multi-sample biometric fusion

BIOMETRIC FUSION

• Introduction to standards

• Importance of standards

• ISO/IEC

•Standardization activity in biometrics

BIOMETRIC STANDARDS

•Basic concepts

•Developing a test protocol

•Test administrator error

•Design errors

•Best practices

DESIGNING AND CONDUCTING A TEST

•Components of a test report

• Interpreting a test report

WRITING A TEST REPORT

•Sensor interoperability

•Benefits of interoperability

•Fingerprint interoperability – research use case

INTEROPERABILITY

•Opportunities for individual research projects

RESEARCH

•Working through research challenges

ANSWERING RESEARCH CHALLENGES

•Zoo menagerie

•Zoo plots

•Zoo and force level research

EXAMPLES INCLUDE: PERFORMANCE AND ZOO METHODOLOGY

•Available online, on-demand, and on the West Lafayette, IN campus

•Offered fall / spring semesters

•3 credit hours

COURSE AVAILABILITY