Discriminative Learning in Biometrics (Hardcover, 1st ed. 2016)

This monograph describes the latest advances in discriminative learning methods for biometric recognition. Specifically, it focuses on three representative categories of methods: sparse representation-based classification, metric learning, and discriminative feature representation, together with their applications in palmprint authentication, face recognition and multi-biometrics. The ideas, algorithms, experimental evaluation and underlying rationales are also provided for a better understanding of these methods. Lastly, it discusses several promising research directions in the field of discriminative biometric recognition.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	November 2016
First published:	2016
Authors:	David Zhang • Yong Xu • Wangmeng Zuo
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	266
Edition:	1st ed. 2016
ISBN-13:	978-981-10-2055-1
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Pattern recognition
LSN:	981-10-2055-8
Barcode:	9789811020551

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