BC4151 Biometric Systems Syllabus:
BC4151 Biometric Systems Syllabus – Anna University PG Syllabus Regulation 2021
COURSE OBJECTIVES:
To learn and understand biometric technologies and their functionalities.
To learn the role of biometric in the organization
To Learn the computational methods involved in the biometric systems.
To expose the context of Biometric Applications
To learn to develop applications with biometric security
UNIT I INTRODUCTION
Introduction – history – type of biometrics – General architecture of biometric systems – Basic working of biometric matching – Biometric system error and performance measures – Design of biometric systems – Applications of biometrics – Biometrics versus traditional authentication methods – character recognition – authentication technologies, biometric technologies, Finger, face, voice and iris biometric technologies.
UNIT II FINGERPRINT, FACE AND IRIS AS BIOMETRICS
Fingerprint biometrics – Fingerprint recognition system – Minutiae extraction – Fingerprint indexing – experimental results – Biometrics using vein pattern of palm – Advantages and disadvantages – Basics of hand geometry
Background of face recognition – Design of face recognition system – Neural network for face recognition – Face detection in video sequences – Challenges in face biometrics – Face recognition methods – Advantages and disadvantages
Iris segmentation method – Determination of iris region – Experimental results of iris localization – applications of iris biometrics – Advantages and disadvantages.
UNIT III PRIVACY ENHANCEMENT AND MULTIMODAL BIOMETRICS
Privacy concerns associated with biometric developments – Identity and privacy – Privacy concerns – biometrics with privacy enhancement – Comparison of various biometrics in terms of privacy – Soft biometrics – Introduction to biometric cryptography – General purpose cryptosystem – Modern cryptography and attacks – Symmetric key ciphers – Cryptographic algorithms – Introduction to multimodal biometrics – Basic architecture using face and ear – Characteristics and advantages of multimodal biometrics characters – AADHAAR : An Application of Multimodal
Biometrics.
UNIT IV WATERMARKING TECHNIQUES & BIOMETRICS: SCOPE AND FUTURE
Data hiding methods – Basic framework of watermarking – Classification, Applications, Attacks, Performance Evaluation and Characteristics – General Watermarking process – Image watermarking techniques – Watermarking algorithm – Effect of attacks on watermarking techniques –Scope and future market of biometrics Applications of Biometrics and information technology infrastructure – Role of biometrics in enterprise security – Role of biometrics in border security – Smart card technology and biometric – Radio frequency identification biometrics – DNA Biometrics – Comparative study of various biometrics techniques.
UNIT V IMAGE ENHANCEMENT TECHNIQUES & BIOMETRICS STANDARDS
Current research in image enhancement techniques – Image enhancement algorithms– Frequency domain filters – Databases and implementation – Standard development organizations – Application programming interface – Information security and biometric standards – Biometric template interoperability biometrics for network security and biometrics for transaction.
LIST OF EXPERIMENTS (Experiments can be designed with similar use cases as below):
1. Student school smart card
2. Secure lab access using card scanner plus face recognition
3. Student bus pass with barcode card scan
4. Student bus pass with webcam scan
5. Employee attendance system by Qr scan
6. Student examination datacard
7. School student attendance system by barcode scan
8. School student attendance system by Qr scan
9. School student attendance with fingerprint reader
10. Fingerprint voting system project
11. Employee hourly attendance by barcode scan
12. Visual product identification for blind
COURSE OUTCOMES:
CO1: Identify the various biometric technologies.
CO2: Design of biometric recognition for the organization.
CO3: Develop simple applications for privacy.
CO4: Understand the need of biometric in the society
CO5: Understand the research in biometric techniques.
TOTAL : 75 PERIODS
REFERENCES:
1. G R Sinha and Sandeep B. Patil, Biometrics: Concepts and Applications, Wiley, 2013
2. Paul Reid, Biometrics for Network Security, Pearson Education, 2003
3. Samir Nanavathi, Micheal Thieme, Raj Nanavathi, Biometrics – Identity verification in a networked world, Wiley – dream Tech, 2002.
4. John D Woodward, Jr.; Nicholas M Orlans; Peter T Higgins, Biometrics – The Ultimate Reference, Wiley Dreamtech.College Publications, 2015.
5. Khalid Saeed, “New Directions in Behavioral Biometrics’, CRC Press 2020.
6. Ruud M. Bolle, Sharath Pankanti, Nalini K. Ratha, Andrew W. Senior, Jonathan H. Connell, Guide to Biometrics, Springer 2009.
7. Rafael C. Gonzalez, Richard Eugene Woods, Digital Image Processing using MATLAB, 2nd Edition, Tata McGraw-Hill Education 2010.