Multiple textural features based palmprint authentication

Xiangqian Wu; Kuanquan Wang; David Zhang

doi:10.1007/11816515_121

Multiple textural features based palmprint authentication

Xiangqian Wu^*
, Kuanquan Wang
, David Zhang

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology
Hong Kong Polytechnic University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper proposes two novel palmprint textural features, orientationCode and diffCode, and investigates the fusion of these features at score level for personal recognition. The orientationCode and diffCode are first defined using four directional templates and the differential operation, respectively. And then the matching score are computed to measure the similarity of the features. Finally, several fusion strategies are investigated for the matching scores of orientationCode and diffCode. Experimental results show that the orientationCode and diffCode can describe a palmprint effectively and the Sum, Product and Fisher's Linear Discriminant (FLD) fusion strategies can greatly improve the accuracy of palmprint authentication.

Original language	English
Title of host publication	Intelligent Computing in Signal Processing and Pattern Recognition
Subtitle of host publication	International Conference on Intelligent Computing, ICIC 2006
Editors	De-Shaung Huang, Kang Li, George William Irwin
Pages	964-969
Number of pages	6
DOIs	https://doi.org/10.1007/11816515_121
State	Published - 2006
Externally published	Yes

Publication series

Name	Lecture Notes in Control and Information Sciences
Volume	345
ISSN (Print)	0170-8643

Access to Document

10.1007/11816515_121

Cite this

Wu, X., Wang, K., & Zhang, D. (2006). Multiple textural features based palmprint authentication. In D.-S. Huang, K. Li, & G. W. Irwin (Eds.), Intelligent Computing in Signal Processing and Pattern Recognition: International Conference on Intelligent Computing, ICIC 2006 (pp. 964-969). (Lecture Notes in Control and Information Sciences; Vol. 345). https://doi.org/10.1007/11816515_121

@inproceedings{447b5d6087914bc1bda5ead6d45c1626,

title = "Multiple textural features based palmprint authentication",

abstract = "This paper proposes two novel palmprint textural features, orientationCode and diffCode, and investigates the fusion of these features at score level for personal recognition. The orientationCode and diffCode are first defined using four directional templates and the differential operation, respectively. And then the matching score are computed to measure the similarity of the features. Finally, several fusion strategies are investigated for the matching scores of orientationCode and diffCode. Experimental results show that the orientationCode and diffCode can describe a palmprint effectively and the Sum, Product and Fisher's Linear Discriminant (FLD) fusion strategies can greatly improve the accuracy of palmprint authentication.",

author = "Xiangqian Wu and Kuanquan Wang and David Zhang",

year = "2006",

doi = "10.1007/11816515\_121",

language = "英语",

isbn = "3540372571",

series = "Lecture Notes in Control and Information Sciences",

pages = "964--969",

editor = "De-Shaung Huang and Kang Li and Irwin, \{George William\}",

booktitle = "Intelligent Computing in Signal Processing and Pattern Recognition",

}

Multiple textural features based palmprint authentication. / Wu, Xiangqian ; Wang, Kuanquan; Zhang, David.
Intelligent Computing in Signal Processing and Pattern Recognition: International Conference on Intelligent Computing, ICIC 2006. ed. / De-Shaung Huang; Kang Li; George William Irwin. 2006. p. 964-969 (Lecture Notes in Control and Information Sciences; Vol. 345).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multiple textural features based palmprint authentication

AU - Wu, Xiangqian

AU - Wang, Kuanquan

AU - Zhang, David

PY - 2006

Y1 - 2006

N2 - This paper proposes two novel palmprint textural features, orientationCode and diffCode, and investigates the fusion of these features at score level for personal recognition. The orientationCode and diffCode are first defined using four directional templates and the differential operation, respectively. And then the matching score are computed to measure the similarity of the features. Finally, several fusion strategies are investigated for the matching scores of orientationCode and diffCode. Experimental results show that the orientationCode and diffCode can describe a palmprint effectively and the Sum, Product and Fisher's Linear Discriminant (FLD) fusion strategies can greatly improve the accuracy of palmprint authentication.

AB - This paper proposes two novel palmprint textural features, orientationCode and diffCode, and investigates the fusion of these features at score level for personal recognition. The orientationCode and diffCode are first defined using four directional templates and the differential operation, respectively. And then the matching score are computed to measure the similarity of the features. Finally, several fusion strategies are investigated for the matching scores of orientationCode and diffCode. Experimental results show that the orientationCode and diffCode can describe a palmprint effectively and the Sum, Product and Fisher's Linear Discriminant (FLD) fusion strategies can greatly improve the accuracy of palmprint authentication.

UR - https://www.scopus.com/pages/publications/33748869058

U2 - 10.1007/11816515_121

DO - 10.1007/11816515_121

M3 - 会议稿件

AN - SCOPUS:33748869058

SN - 3540372571

SN - 9783540372578

T3 - Lecture Notes in Control and Information Sciences

SP - 964

EP - 969

BT - Intelligent Computing in Signal Processing and Pattern Recognition

A2 - Huang, De-Shaung

A2 - Li, Kang

A2 - Irwin, George William

ER -

Multiple textural features based palmprint authentication

Abstract

Publication series

Access to Document

Other files and links

Fingerprint

Cite this