MODULE 1 - FORENSIC BIOMETRICS
In this module, you will get an overview of the field of biometrics, its historical evolution, the biometric system (a brief know-how of various models), the multifaceted functions of biometrics, the advantages and disadvantages of using this technology, and the significant role biometrics play during forensic investigations.
MODULE 2 - TYPES OF BIOMETRICS
This module covers the study of various types of biometrics, including physiological types (eye biometrics, fingerprints, palm prints, face recognition, footprints, and digital signatures) and behavioral types (speech/voice, handwriting, and gait pattern). You will learn how to use an individual's identity using this technology during forensic investigations.
MODULE 3 - BIOMETRIC SYSTEM MODEL
This module focuses on biometric systems and the stages of their operation. The process starts with data collection, progresses through transmission, signal processing, and storage, and finally concludes with the critical decision-making phase. The module also covers types of biometric models, including the geometric model (which uses geometric features for identification) and the statistical model (which uses numerical analysis of biological data).
MODULE 4 - IMAGE PROCESSING
In this module, you will be introduced to image processing within the legal framework and the steps involved, like image capture, enhancement and restoration, and feature extraction techniques. The concepts of analysis of signals (analogue video image processing), compression and encryption methods, digital video recording methods, digitalization techniques, and the investigation of image and video integrity are also covered.
MODULE 5 - FINGERPRINT IDENTIFICATION TECHNOLOGY
This module covers the domain of fingerprint technology, its applications and historical evolution, the early system of fingerprinting using manual card files, classification and searching methods, and the role played in early automation efforts by USNBS/NIST, the Royal Canadian Police, the FBI, the UK, and Japan. You will then learn about the technological aspects of fingerprinting, like scanning, digitizing, enhancement, feature extraction, classification, matching, searching, and manual verification. The module concludes with the applications of fingerprint identification technology in criminal, civil, and commercial domains.
MODULE 6 - PALM PRINTS
In this module, you will learn about palm prints, their historical significance, methods (minutiae, principle lines, and the texture of palms), systems used in palm print recognition (palm acquisition and palm print recognition), the future of palm recognition, including multimodal dimensions, taking into account vein and palm, hand geometry and palm, 3D palm recognition, and the concept of touchless palm recognition.
MODULE 7 - IRIS RECOGNITION
This module covers the domain of iris recognition, its anatomical and physiological foundations, the process of sensing and capturing the essence of the iris, and the core aspects of iris signature representation and matching, involving the meticulous steps of localization, the art of representation, and the precision of matching. Iris has unique patterns, thereby making iris recognition at the forefront of biometric technology.
MODULE 8 - FACE RECOGNITION
Face recognition is a biometric software category that involves confirming a person’s identity using their facial features by comparing the live face or a digital image with the database of stored faceprints. This module focuses on the concept of facial recognition, the evolution of facial detection, representation and classification techniques for face recognition, and kernel-based and 3-D model-based methods.
MODULE 9 - SPEAKER VERIFICATION
This module introduces you to the concepts of speaker recognition, speech features, and speaker models; additional methods for managing variability, such as channel normalization and modeling and text constraint, verifying speakers via an artificial neural network, NIST speaker recognition evaluation, including one speaker detection, two speaker detection, speaker tracking, and speaker segmentation.
You will also learn about the data domain covering speaker training and test segments, the factors influencing detection performance, including duration, pitch, handset differences, and distinctions between landline and cellular environments, and extended data evaluation.
MODULE 10 - CULTURAL, SOCIAL, AND LEGAL CONSIDERATION
In this module, you will learn about the societal and legal dimensions of biometric analysis, social impact, including the cultural considerations of privacy and the concept of individuality, legal issues, including liability and the legal implications for biometrics in the privacy domain, and data policies covering issues related to information sharing and the protection of biometric data.
MODULE 11 - BIOMETRIC ON SMART CARD: AN ADVANCED TECHNIQUE
Smart cards are used as identification documents that securely store the identity and details of an individual. This module focuses on the concept of smart card intersection with biometric technology, fingerprint matching algorithms, an overview of local and global structural facets within this algorithmic framework, work-sharing mechanisms for on-card comparison, off-card alignment, and performance comparison to evaluate the effectiveness and efficiency of fingerprint matching algorithms in diverse contexts.
MODULE 12 - EMERGING TRENDS IN BIOMETRICS
In this module, you will be introduced to the emerging biometric identification methods beyond the conventional ones, including ear biometrics, tongue prints, body salinity, facial thermography, acoustic head resonance, lip motion, nail bed identification, vein patterns, brainwave patterns, sweat pores, and the complex domain of DNA. Each one represents a unique way of identification, contributing to the upliftment of this technology and redefining the field of personal recognition and forensic sciences.
