BME

BM5008: Biometric Systems Syllabus for Biomedical 8th Sem 2019 Regulation Anna University (Professional Elective-VII)

Biometric Systems detailed syllabus for Biomedical Engineering (Biomedical) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the Biomedical students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Biomedical Engineering 8th Sem scheme and its subjects, do visit Biomedical 8th Sem 2019 regulation scheme. For Professional Elective-VII scheme and its subjects refer to Biomedical Professional Elective-VII syllabus scheme. The detailed syllabus of biometric systems is as follows.

Biometric Systems

Course Objective:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Unit I

Introduction To Biometrics
Introduction and back ground – biometric technologies – passive biometrics – active biometrics -Biometric characteristics, Biometric applications – Biometric Authentication systems- Taxonomy of Application Environment, Accuracy in Biometric Systems- False match rate- False non match rateFailure to enroll rate- Derived metrics-Biometrics and Privacy.

Unit II

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Unit III

Face Recognition and Hand Geometry
Introduction to face recognition, face recognition using PCA, LDA, face recognition using shape and texture, face detection in color images, 3D model based face recognition in video images, Neural networks for face recognition, Hand geometry – scanning – Feature Extraction -classification.

Unit IV

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Unit V

Voice Scan and Multimodal Biometrics
Voice scan, speaker features, short term spectral feature extraction, Mel frequency cepstral coefficients, speaker matching, Gaussian mixture model, NIST speaker Recognition Evaluation Program, Introduction to multimodal biometric system – Integration strategies – Architecture -level of fusion – combination strategy, examples of multimodal biometric systems, Securing and trusting a biometric transaction – matching location – local host – authentication server – match on card (MOC).

Course Outcome:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Text Books:

  1. James Wayman& Anil Jain, “Biometric Systems- Technology Design and Performance Evaluation”, SPRINGER (SIE), 1st Edition, 2011.
  2. Paul Reid, “Biometrics for Network Security”, Pearson Education, 2004.

References:

  1. Nalini K Ratha, Ruud Bolle, “Automatic fingerprint recognition system””, Springer, 2003.
  2. L C Jain, I Hayashi, S B Lee, U Halici, “Intelligent Biometric Techniques in Fingerprint and Face Recognition”, CRC Press, 1st Edition, 1999.
  3. S.Y. Kung, S.H. Lin, M.W., “Biometric Authentication: A Machine Learning Approach”, Prentice Hall, 2004.
  4. John Chirillo, Scott Blaul, “Implementing Biometric Security”, John Wiley and Sons, 2003.

For detailed syllabus of all the other subjects of Biomedical Engineering 8th Sem, visit Biomedical 8th Sem subject syllabuses for 2019 regulation.

For all Biomedical Engineering results, visit Anna University Biomedical all semester results direct link.

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