Biometric Systems Med Ele 8th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective IV) detail syllabus for Medical Electronics (Med Ele), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (BM8073), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other med ele 8th sem syllabus for be 2017 regulation anna univ you can visit Med Ele 8th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective IV subjects do refer to Professional Elective IV. The detail syllabus for biometric systems is as follows.
Course Objective:
- To understand the technologies of fingerprint, iris, face and speech recognition
- To understand the general principles of design of biometric systems and the underlying trade-offs.
- To recognize personal privacy and security implications of biometrics based identification technology.
- To identify issues in the realistic evaluation of biometrics based systems.
Unit I
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Unit II
Fingerprint Identification Technology
Fingerprint Patterns, Fingerprint Features, Fingerprint Image, width between two ridges -Fingerprint Image Processing – Minutiae Determination – Fingerprint Matching: Fingerprint Classification, Matching policies.
Unit III
Face Recognition
Introduction, components, Facial Scan Technologies, Face Detection, Face Recognition, Representation and Classification, Kernel- based Methods and 3D Models, Learning the Face Spare, Facial Scan Strengths and Weaknesses, Methods for assessing progress in Face Recognition.
Unit IV
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Unit V
Fusion in Biometrics
Introduction to Multibiometric – Information Fusion in Biometrics – Issues in Designing a Multibiometric System – Sources of Multiple Evidence – Levels of Fusion in Biometrics – Sensor level, Feature level, Rank level, Decision level fusion – Score level Fusion.
Examples – biopotential and gait based biometric systems.
Course Outcome:
At the end of the course, the student should be able to:
- Demonstrate knowledge engineering principles underlying biometric systems.
- Analyze design basic biometric system applications.
Text Books:
- James Wayman, Anil Jain, Davide Maltoni, Dario Maio, Biometric Systems, Technology Design and Performance Evaluation, Springer, 2005.
- David D. Zhang, Automated Biometrics: Technologies and Systems, Kluwer Academic Publishers, New Delhi, 2000.
- Arun A. Ross , Karthik Nandakumar, A.K.Jain, Handbook of Multibiometrics, Springer, New Delhi, 2006.
References:
- Paul Reid, Biometrics for Network Security, Pearson Education, 2004.
- Nalini K Ratha, Ruud Bolle, Automatic fingerprint Recognition System, Springer, 2003
- L C Jain, I Hayashi, S B Lee, U Halici, Intelligent Biometric Techniques in Fingerprint and Face Recognition CRC Press, 1999.
- John Chirillo, Scott Blaul, Implementing Biometric Security, John Wiley, 2003.
- S.Y. Kung, S.H. Lin, M.W.Mak, Biometric Authentication: A Machine Learning ApproachPrentice Hall, 2005
For detail syllabus of all other subjects of BE Med Ele, 2017 regulation do visit Med Ele 8th Sem syllabus for 2017 Regulation.
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