Zhenhua Guo – författare

The 56 papers presented in this book were carefully reviewed and selected from 74 submissions. The papers cover a wide range of topics such as face recognition and analysis; hand-based biometrics; eye-based biometrics; gesture, gait, and action; emerging biometrics; feature extraction and classification theory; and behavioral biometrics.

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.

Recognition, CCBR 2017, held in Shenzhen, China, in October 2017. The 15 full papers and 65 poster papers presented in this book were carefully reviewed and selected from 138 submissions. The papers are organized in topical sections on face; fingerprint, palm-print and vascular biometrics; iris; gesture and gait; emerging biometrics; voice and speech; video surveillance; feature extraction and classification theory; behavioral biometrics.