MODULE 1 – FORENSIC BIOMETRICS
Forensic biometrics has been used for an extended period. Through body measurements Alphonse Bertillon had developed the system of personal identification and developed known as Bertillon system. Fingerprint became extensively used after 1910, comparatively Bertillon system where so many body measurements had to be taken and it may be possible with error. Under this module, you will familiarize with the introduction and definition of forensic biometrics, types of biometrics tools, significance of biometrics in fingerprints, facial reconstruction, iris and retina scan, voice, DNA, handwriting, relevance in forensic science, model of biometric system, use of biometrics, advantages & disadvantages.
MODULE 2 – TYPES OF BIOMETRICS
Biometric plays a crucial role in securing an individual’s identity. Through this module, students will be able to acquire knowledge about various types of biometrics which are grouped under Physiological (Eye biometrics, Fingerprints and Palm prints, face, Foot prints, Gait pattern and Digital signature) and Behavioural.(Speech/ Voice, Handwriting).
MODULE 3 – BIOMETRIC SYSTEM MODEL
All the biometrics work on the similar process of identity identification. This course module focusses on the sequential step wise working of the Biometric system model which involves Data collection, Transmission, Signal processing, Storage and finally making an authenticated decision. Two types of models (Geometrical and Statistical) have also been discussed in this module which will significantly enhance students’ knowledge.
MODULE 4 – IMAGE PROCESSING
The detailed study of image processing through with legal perspective, along with the facts related to it is of great importance in legal cases students would be acquainted with the introduction to image processing, image enhancement and restoration, method of investigation of erased tapes, analysis of signals (analog video image processing), compression, encryption methods, methods for digital video recording, digitalization techniques and the investigation of integrity of images and videos.
MODULE 5 – FINGERPRINT IDENTIFICATION TECHNOLOGY
Fingerprint Identification Technology is one of the oldest and most popular technique for personal identification used worldwide. This module will enrich the students’ knowledge about application of fingerprints, Early systems (Manual card files, Classification and Searching and Methods), Early automation efforts, Working of the system (Scanning and digitizing, Enhancement, Features extraction, Classification, Matching, Searching and Manual Verification) and its applications in criminal, civil and commercial cases.
MODULE 6 – PALM PRINTS
Uniqueness and Permanence of the ridges present on the palm makes the Palm Print recognition reliable and authentication. This module encompasses an elaborated information about Methods, Systems (Palm acquisition, Palm print recognition), and Future of palm recognition, 3D palm recognition, and Touch less palm recognition.
MODULE 7 – IRIS RECOGNITION
Iris is a distinctive trait of every individual, as it is stable and unalterable throughout one’s life. Thus recognition of Iris pattern is helpful for individualisation and to safeguard secure networks. This module will enrich the students’ knowledge in topics like Anatomical and Physiological Underpinnings, sensing and how the Iris signature representation and matching (Localization, Representation, and Matching) is done
MODULE 8 – FACE RECOGNITION
Face recognition involves measuring all the facial traits of an individual. This module focusses on how the face is detected, various representation techniques and its application and also classification techniques that aids in face recognition. Technologies (Kernel based, 3D Model based) for face recognition will also be dealt in this module so as to verify and determine an individual from digital image or video source.
MODULE 9 – SPEAKER VERIFICATION
This course module encompasses identification and verification of speaker, detailed description about features and models, additional methods for managing variability, Speaker Verification by means of Artificial Neural Network, NIST Speaker Recognition Evaluation, Data, and factors affecting detection performance (duration, pitch, handset differences, Landline vs. Cellular) and extended data evaluation.
MODULE 10 – CULTURAL, SOCIAL, AND LEGAL CONSIDERATION
This course module focusses on relationship between Biometric System and Individual in correlation with the cultural, social and legal aspects. Students will enrich their knowledge about Social Impact (Privacy as a cultural consideration, Individuality), Legal Issues and Data policy (Information Sharing Issues, Protection of Biometrics Data)
MODULE 11 – BIOMETRIC ON SMART CARD: AN ADVANCED TECHNIQUE
With the exponential increase in the technology, need to secure and safeguard our systems are getting more vital. Biometrics amalgamation with the smart cards is an advanced technique to secure the identity and details of the individual. Thus making the information less susceptible to abuse. This module will acquaint the students’ with Fingerprint Matching Algorithm, Overview of Local and Global Structure, Work Sharing Mechanism for on Card Comparison, Off Card Alignment, and Performance Comparison.
MODULE 12 – EMERGING TRENDS IN BIOMETRICS
With advancement in the ways of dodging the traditional biometric methods, a need for novel, reliable and authenticated biometric patterns arises. This module significantly encompasses various emerging trends in the field of biometrics which includes Ear prints, Tongue prints, Body salinity, Facial Thermography, Lip motion, Brain-wave, Vein pattern, Sweat pores and DNA. These come into way when previous biometrics are difficult to adapt.
