Multispectral Biometrics

Systems and Applications

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Science & Nature, Technology, Electronics
Cover of the book Multispectral Biometrics by David Zhang, Zhenhua Guo, Yazhuo Gong, Springer International Publishing
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Author: David Zhang, Zhenhua Guo, Yazhuo Gong ISBN: 9783319224855
Publisher: Springer International Publishing Publication: September 14, 2015
Imprint: Springer Language: English
Author: David Zhang, Zhenhua Guo, Yazhuo Gong
ISBN: 9783319224855
Publisher: Springer International Publishing
Publication: September 14, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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