{"id":7942,"date":"2019-12-15T03:40:09","date_gmt":"2019-12-15T03:40:09","guid":{"rendered":"https:\/\/www.inspirenignite.com\/vtu\/biometric-systems-bme-7th-sem-syllabus-for-vtu-be-2017-scheme-professional-elective-iii\/"},"modified":"2019-12-15T03:40:09","modified_gmt":"2019-12-15T03:40:09","slug":"biometric-systems-bme-7th-sem-syllabus-for-vtu-be-2017-scheme-professional-elective-iii","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/vtu\/biometric-systems-bme-7th-sem-syllabus-for-vtu-be-2017-scheme-professional-elective-iii\/","title":{"rendered":"Biometric Systems BME 7th Sem Syllabus for VTU BE 2017 Scheme (Professional Elective-III)"},"content":{"rendered":"

Biometric Systems detail syllabus for Biomedical Engineering (BME), 2017 scheme is taken from VTU<\/a> official website and presented for VTU students. The course code (17BM744), and for exam duration, Teaching Hr\/week, Practical Hr\/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.<\/p>\n

For all other bme 7th sem syllabus for be 2017 scheme vtu you can visit BME 7th Sem syllabus for BE 2017 Scheme VTU Subjects<\/a>. For all other Professional Elective-III subjects do refer to Professional Elective-III<\/a>. The detail syllabus for biometric systems is as follows.<\/p>\n

Module 1 <\/h4>\n

Introduction to Biometrics: Introduction, Identification Methods, Biometrics, Biometrics Technology Overview, Biometrics technologies: A Comparison, Automatic Identification, Research Issues – Acquisition, Representation, Feature Extraction, Matching, Search, Organization and Scalability, Privacy, Novel Applications.(Text 1: Chapter 1 ).\n<\/p>\n

Module 2 <\/h4>\n

For complete syllabus and results, class timetable and more pls download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n

Module 3 <\/h4>\n

Hand Geometry Base Verification: Introduction, System Operation, Implementation Issues, Applications. Recognizing By Iris Patterns: Introduction, Iris Patterns – Complex Phenotypic Features, Statistical Recognition Principle, Decidability of Iris Based personal Identification, Identification versus Verification, Stability of Iris Pattern Overtime.(Text 1: Chapter 4, Chapter 5 ).\n<\/p>\n

Module 4 <\/h4>\n

Retina Identification: Retina\/Choroid as Human Descriptor, Background, Technology, Eye Signature, RI Camera, Signal Acquisition and Computing Subsystem, System Operation, Performance. Key stroke Dynamics Based Authentication: Introduction, Types of Security Attacks, Predicting Human Characteristics, Applications of Keystroke Dynamics using Interkey Times and Hold Times as Features.(Text 1: Chapter 6, Chapter 10 ).\n<\/p>\n

Module 5 <\/h4>\n

For complete syllabus and results, class timetable and more pls download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n

Course Outcomes:<\/h4>\n

After studying this course, students will be able to:<\/p>\n

    \n
  1. Explain the general principles of designing biometric-based systems.<\/li>\n
  2. Analyze various biometric systems, their characteristics and performance.<\/li>\n
  3. Discuss the online identification biometric techniques.<\/li>\n
  4. Recognize some of the personal privacy and security implications of biometrics based identification technology.<\/li>\n
  5. Analyze the privacy and security issues of biometrics.<\/li>\n
  6. Develop simple model of biometric system.<\/li>\n<\/ol>\n

    Question paper pattern:<\/h4>\n