Coding 3D gabor features for hyperspectral palmprint recognition

Linlin Shen, Wenfeng Wu, Sen Jia, Zhenhuan Guo

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

8 Citations (Scopus)

Abstract

Compared to the fruitful research outputs in 2D palm print recognition, the research in hyper spectral palm print recognition is quite limited in literature. When 2D slices of hyper spectral data was processed separately and then fused at different levels for palm recognition, the information contained in the 3D data is not fully exploited. We proposed a 3D Gabor wavelet based approach in this paper to extract features in spatial and spectrum domain simultaneously. A set of 3D Gabor wavelets with different frequencies and orientations were designed and convolved with the cube to extract discriminative information in the joint spatial-spectral domain. For each location in the 3D cube, the wavelet who produces the maximum response is identified and the response is coded using a two-bits code according to the phase information. The similarity between two hyper spectal cubes are then calculated using hamming distance measurement. The HK-PolyU Hyper spectral Palm print Database captured from 380 palms were used for experiments. Results show that the fused feature substantially outperformed the acucracy of individual wavelet. As low as 4% EER was achieved.

Original languageEnglish
Title of host publicationProceedings - 2014 International Conference on Medical Biometrics, ICMB 2014
PublisherIEEE Computer Society
Pages169-173
Number of pages5
ISBN (Print)9781479940141
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 International Conference on Medical Biometrics, ICMB 2014 - Shenzhen, Guangdong, China
Duration: 30 May 20141 Jun 2014

Publication series

NameProceedings - 2014 International Conference on Medical Biometrics, ICMB 2014

Conference

Conference2014 International Conference on Medical Biometrics, ICMB 2014
Country/TerritoryChina
CityShenzhen, Guangdong
Period30/05/141/06/14

Keywords

  • 3D Gabor wavelets
  • feature extraction
  • hyperspectral palmprint recognitiont

ASJC Scopus subject areas

  • Biomedical Engineering

Fingerprint

Dive into the research topics of 'Coding 3D gabor features for hyperspectral palmprint recognition'. Together they form a unique fingerprint.

Cite this