📮 Introduction to Biometrics, 2nd Edition by Anil K. Jain (.PDF)

This textbook introduces the fundamental concepts and techniques used in biometric recognition to students, practitioners, and non-experts in the field. Specifically, the book describes key methodologies used for sensing, feature extraction, and matching of commonly used biometric modalities such as fingerprint, face, iris, and voice. In addition, it presents techniques for fusion of biometric information to meet stringent accuracy requirements, also discussing various security issues and associated remedies involved in the deployment of biometric systems. Biometric recognition, or simply biometrics, is the science and technology of establishing the identity of a person based on physical or behavioral attributes such as fingerprint, face, iris, and voice. By capturing these attributes using appropriately designed sensors, representing them in a digital format, and comparing this recorded data against the data acquired from the same person at an earlier time instance (enrollment), it is possible to automate the process of person recognition in real time. Thus, biometric recognition can be viewed as a Machine Learning problem, where the machine learns the salient features (patterns) in the biometric attributes of an individual and robustly matches such patterns efficiently and effectively with enrollment patterns.

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