Applying LBP operator to Gabor response for palmprint identification

Linlin Shen, Zhen Ji, Lei Zhang, Zhenhua Guo

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

We proposed in this paper an accurate and efficient approach for palmprint identification. In this method, a Gabor wavelet is first convolved with the palmprint image to produce a response image, where LBP is then applied to code the relation among the magnitude of wavelet response at central pixel with that of its neighbors. The method is fully tested using the public PolyU palmprint database. In the experiment, 3864 test images are identified by the proposed method against the 1158 templates. While palm code achieves only about 89% accuracy, over 96% accuracy is achieved by the proposed G-LBP approach. Our approach could identify a palmprint image within 200 ms.

Original languageEnglish
Title of host publicationProceedings - 2009 International Conference on Information Engineering and Computer Science, ICIECS 2009
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 International Conference on Information Engineering and Computer Science, ICIECS 2009 - Wuhan, China
Duration: 19 Dec 200920 Dec 2009

Publication series

NameProceedings - 2009 International Conference on Information Engineering and Computer Science, ICIECS 2009

Conference

Conference2009 International Conference on Information Engineering and Computer Science, ICIECS 2009
Country/TerritoryChina
CityWuhan
Period19/12/0920/12/09

Keywords

  • Gabor wavelet
  • Local binary pattern
  • Palmprint identification

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Software

Fingerprint

Dive into the research topics of 'Applying LBP operator to Gabor response for palmprint identification'. Together they form a unique fingerprint.

Cite this