Multispectral Biometrics: Systems and Applications

Dapeng Zhang; Zhenhua Guo; Yazhuo Gong

doi:10.1007/978-3-319-22485-5

Multispectral Biometrics: Systems and Applications

Dapeng Zhang, Zhenhua Guo, Yazhuo Gong

Research output: Authored / edited book › Research book or monograph (as author) › Academic research › peer-review

29 Citations (Scopus)

Abstract

Describing several new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris recognition technologies, this book analyzes a number of efficient feature extraction, matching and fusion algorithms and how potential systems have been developed. Focusing on how to develop new biometric technologies based on the requirements of applications, and how to design efficient algorithms to deliver better performance, the work is based on the author's research with experimental results under different challenging conditions described in the text. The book offers a valuable resource for researchers, professionals and postgraduate students working in the fields of computer vision, pattern recognition, biometrics, and security applications, amongst others.

Original language	English
Publisher	Springer International Publishing
Number of pages	229
ISBN (Electronic)	9783319224855
ISBN (Print)	9783319224848
DOIs	https://doi.org/10.1007/978-3-319-22485-5
Publication status	Published - 14 Sept 2015

ASJC Scopus subject areas

General Engineering
General Computer Science

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10.1007/978-3-319-22485-5

Cite this

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Multispectral Biometrics: Systems and Applications

Abstract

ASJC Scopus subject areas

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