On effective palmprint retrieval for personal identification

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

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-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 languageEnglish
Title of host publicationProceedings of the International Conference on Imaging Science, Systems and Technology, CISST
Pages111-117
Number of pages7
Publication statusPublished - 1 Dec 2003
EventProceedings of the International Conference on Imaging Science, Systems and Technology, CISST'03 - Las Vegas, NV, United States
Duration: 23 Jun 200326 Jun 2003

Conference

ConferenceProceedings of the International Conference on Imaging Science, Systems and Technology, CISST'03
Country/TerritoryUnited States
CityLas Vegas, NV
Period23/06/0326/06/03

ASJC Scopus subject areas

  • Engineering(all)

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