IT 54500 overview
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Transcript of IT 54500 overview
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