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S.NO. | DESCRIPTION | PO MAPPING |
CO1 | To differentiate between physiological and behavioural biometrics. | PO1 |
CO2 | To perform biometry using conventional methods. | PO1, PO2, PO11 |
CO3 | To gain knowledge about different biometric systems. | PO1, PO9 |
Unit 1: Fundamental Aspects of Biometry
Definition, Biometric vs traditional techniques. Classification of biometric systems – physiological and Behavioural. Merits and demerits of physiological and Behavioural biometrics. Multimodal biometrics.
Unit 2: Key Biometric Process
Key biometric processes – enrolment, identification and verification. Positive and negative identification. Performance measures used in biometric systems – FAR, FRR, GAR, FTA, FTE and ATV.
Unit 3: Physiological Biometrics 1
Fingerprints, palm prints, geometry of hand; components, working principles, strength and weakness.
Unit 4: Physiological Biometrics 2
Iris, Retina and Face geometry; components, working principles, strength and weakness
Unit 5: Behavioural Biometrics 1
Handwriting, signatures, keystrokes, gait and voice; components, working principles, strength and weakness.
Unit 6: Behavioural Biometrics 2
Gait, voice; components, working principles, strength and weakness.
Unit 7: Standards in Biometrics
Assessing the privacy risks of biometric, need for standards, different biometric standards.
Suggested Readings
Unit 1: Fundamental Aspects of Biometry
Definition, Biometric vs traditional techniques.
Classification of biometric systems – physiological and Behavioural. Merits and demerits of physiological and Behavioural biometrics. Multimodal biometrics.
Unit 2: Key Biometric Process
Key biometric processes – enrolment, identification and verification. Positive and negative identification.
Performance measures used in biometric systems – FAR, FRR, GAR, FTA, FTE and ATV.
Unit 3: Physiological Biometrics 1
Fingerprints : components, working principles, strength and weakness.
palm prints: components, working principles, strength, and weakness.
geometry of hand: components, working principles, strength and weakness.
Iris: components, working principles, strength and weakness
Retina : components, working principles, strength and weakness
Face geometry: components, working principles, strength and weakness
Handwriting: components, working principles, strength and weakness.
Signatures: components, working principles, strength and weakness.
Keystrokes : components, working principles, strength and weakness.
Gait : components, working principles, strength and weakness.
Voice : components, working principles, strength and weakness.
Assessing the privacy risks of biometric, need for standards, different biometric standards.
A.Avinash working as Assistant Professor, Dept of CSE, Centurion University of Technology and Management, Andhra Pradesh . Interested to work on Machine learning,Natural Language Processing,Problem Solving Methodologies , and ChatBot. Programming Skill: C Programming Data Structure Object Oriented Programming using C++ Formal Language Automata Theory Python Web Development(HTML,CSS,PHP) Database Management Systems Compilers