On effective palmprint retrieval for personal identification

被引：0

作者：

Cheung, KH ^{[1
]}

Kong, WK ^{[1
]}

You, J ^{[1
]}

Zhang, D ^{[1
]}

机构：

[1] Hong Kong Polytech Univ, Dept Comp, Kowloon, Hong Kong, Peoples R China

来源：

CISST'03: PROCEEDING OF THE INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS AND TECHNOLOGY, VOLS 1 AND 2 | 2003年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a novel retrieval method for effective search of palmprints based on Principal Component Analysis (PCA) and Self-Organizing Feature Map (SOM). To reduce search space and speed up the query processing, an integration of PCA and SOM is proposed, where the coefficients obtained by PCA for global feature representation is considered as input features of SOM. The trained SOM can be used as a retrieval engine to identify similar palmprint images with respect to the query palmprint image for personal identification.

引用

页码：111 / 117

页数：7

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