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Biometric Authentication: A Machine Learning Approach
book

Biometric Authentication: A Machine Learning Approach

by S. Y. Kung, M. W. Mak, S. H. Lin
September 2004
Intermediate to advanced
496 pages
13h 57m
English
Pearson
Content preview from Biometric Authentication: A Machine Learning Approach

2.1. Introduction

Advances in various information processing technologies, including VLSI devices, digital computers, software applications, and embedded systems have revolutionized the paradigm of information processing. In particular, it has catalyzed rapidly increasing interest in the development of commercial systems for biometric authentication applications. The objective of a commercial system is to satisfy security requirements while incurring minimal implementation cost. This chapter discusses common system deployment requirements as well as critical design tradeoffs pertaining to biometric authentication systems. A general pattern classification system is comprised of feature extraction and adaptive classification. It is vital to acquire ...

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Publisher Resources

ISBN: 0131478249Purchase book