A Study of Hand Back Skin Texture Patterns for Personal Identification and Gender Classification

A Study of Hand Back Skin Texture Patterns for Personal Identification and Gender Classification

Human hand back skin texture (HBST) is often consistent for a person and distinctive from person to person. In this paper, we study the HBST pattern recognition problem with applications to personal identification and gender classification. A specially designed system is developed to capture HBST im...

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Bibliographic Details
Main Authors: Jin Xie, Lei Zhang, Jane You, David Zhang, Xiaofeng Qu
Format: Article
Language:English
Published: MDPI AG 2012-06-01
Series:Sensors
Subjects:
biometrics
hand back skin texture
texton learning
sparse representation
Online Access:http://www.mdpi.com/1424-8220/12/7/8691

Internet

http://www.mdpi.com/1424-8220/12/7/8691

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