Conjugate 2DPalmHash code for secure palm-print-vein verification

Lu Leng, Ming Li, Andrew Beng Jin Teoh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

59 Citations (Scopus)

Abstract

Multi-modal biometrics enjoy more merits than their single-modal counterparts in terms of accuracy performance and security. The fusion of hand-based biometrics such as palmprint and palmvein is straightforward since they can be acquired simultaneously with a customized image acquisition device. Conjugate 2DPalmHash Code (CTDPHC), which is constructed by 2DPalmHash Codes (2DPHCs) of palmprint and palmvein, is proposed as a cancelable multi-modal biometric. To determine the proper fusion strategy of 2DPHCs of palmprint and palmvein, different fusion rules at score level are compared and discussed. The transposition orientation ranges of 2DPHCs are also finetuned to improve the accuracy performance. Compared with 2DPHC, CTDPHC enjoys higher verification accuracy and stronger anti-counterfeit ability, while trades neither computational complexity nor storage cost.

Original languageEnglish
Title of host publicationProceedings of the 2013 6th International Congress on Image and Signal Processing, CISP 2013
Pages1705-1710
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 6th International Congress on Image and Signal Processing, CISP 2013 - Hangzhou, China
Duration: 2013 Dec 162013 Dec 18

Publication series

NameProceedings of the 2013 6th International Congress on Image and Signal Processing, CISP 2013
Volume3

Other

Other2013 6th International Congress on Image and Signal Processing, CISP 2013
Country/TerritoryChina
CityHangzhou
Period13/12/1613/12/18

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Signal Processing

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