Trending: Anna University 8th Sem Results April 2014 May/June 2014 Time Table/ Internal Marks Calculate CGPA Online SSLC Results 2014 12th Result 2014

Test Footer 1

Wednesday, January 2, 2013

BM 2022 BIOMETRIC SYSTEM SYLLABUS | ANNA UNIVERSITY BE BIOMEDICAL ENGG 6TH SEMESTER SYLLABUS REGULATION 2008 2011 2012-2013

Latest: TNEA 2014 Engineering Application Status, Counselling Date, Rank List
BM 2022 BIOMETRIC SYSTEM SYLLABUS | ANNA UNIVERSITY BE BIOMEDICAL ENGG 6TH SEMESTER SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY SIXTH SEMESTER B.E BIOMEDICAL ENGINEERING DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,PREVIOUS YEAR QUESTION PAPERS,MODEL QUESTION PAPERS, CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI, TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009

BM 2022 BIOMETRIC SYSTEM L T P C
3 0 0 3
UNIT I BIOMETRIC FUNDAMENTALS 9
Key Biometric terms and Processes – Definitions-verification and identification – matching,
Accuracy in Biometric Systems – False match rate - False nonmatch rate - Failure to
enroll rate – Derived metrics - An Introduction to Biometric Authentication Systems- a
taxonomy of application environment, a system model, biometrics and privacy.
UNIT II FINGERPRINT IDENTIFICATION TECHNOLOGY 9
History, Components, Application of Fingerprints, The Technology- Finger Scan Strengths
and Weaknesses, Criminal Applications, Civil Applications, Commercial Applications,
Technology Evaluation of Fingerprint Verification Algorithms.
UNIT III IRIS RECOGNITION 9
Introduction, Anatomical and Physiological underpinnings, Components, Sensing, Iris
Scan Representation and Matching, Iris Scan Strengths and Weaknesses, System
Performance, Future Directions.
66
UNIT IV FACE RECOGNITION 9
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 V VOICE SCAN 9
Introduction, Components, Features and Models, Addition Method for managing
Variability, Measuring Performance, Alternative Approaches, Voice Scan Strengths and
Weaknesses, NIST Speaker Recognition Evaluation Program, Biometric System
Integration.
TEXT BOOKS:
1. James Wayman & Anil Jain, Biometric Systems – Technology, Design and Performance
Evaluation, Springer-verlag London Ltd, USA, 2005
2. Sanir Nanavati, Michael Thieme, Biometrics Identity Verification in a Networked world,
Wiley Computer Publishing Ltd, New Delhi,2003.
REFERENCE:
1. John D. Woodword Jr., Biometrics, Dreamtech Press, New Delhi,2003.

No comments:

Post a Comment

Any doubt ??? Just throw it Here...