On effective palmprint retrieval for personal identification

King Hong Cheung; Wai Kin Kong; Jia You; Dapeng Zhang

On effective palmprint retrieval for personal identification

King Hong Cheung, Wai Kin Kong, Jia You, Dapeng Zhang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

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.

Original language	English
Title of host publication	Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST
Pages	111-117
Number of pages	7
Publication status	Published - 1 Dec 2003
Event	Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST'03 - Las Vegas, NV, United States Duration: 23 Jun 2003 → 26 Jun 2003

Conference

Conference	Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST'03
Country/Territory	United States
City	Las Vegas, NV
Period	23/06/03 → 26/06/03

ASJC Scopus subject areas

General Engineering

Cite this

@inproceedings{c7ef670364be457ba0f4d1127b178ba5,

title = "On effective palmprint retrieval for personal identification",

abstract = "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.",

author = "Cheung, {King Hong} and Kong, {Wai Kin} and Jia You and Dapeng Zhang",

year = "2003",

month = dec,

day = "1",

language = "English",

pages = "111--117",

booktitle = "Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST",

note = "Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST'03 ; Conference date: 23-06-2003 Through 26-06-2003",

}

On effective palmprint retrieval for personal identification. / Cheung, King Hong; Kong, Wai Kin; You, Jia et al.
Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST. 2003. p. 111-117.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - On effective palmprint retrieval for personal identification

AU - Cheung, King Hong

AU - Kong, Wai Kin

AU - You, Jia

AU - Zhang, Dapeng

PY - 2003/12/1

Y1 - 2003/12/1

N2 - 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.

AB - 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.

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M3 - Conference article published in proceeding or book

SP - 111

EP - 117

BT - Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST

T2 - Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST'03

Y2 - 23 June 2003 through 26 June 2003

ER -

On effective palmprint retrieval for personal identification

Abstract

Conference

ASJC Scopus subject areas

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