Fusing 3D Gabor and Block-Wise Spatial Features for Hyperspectral Palmprint Recognition

Mian Li, Weicheng Xie, Linlin Shen

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

2 Citations (Scopus)

Abstract

Hyperspectral palmprint contains various information in the joint spatial-spectral domain. One crucial task in hyperspectral palmprint recognition is how to extract spatial-spectral features. Since hyperspectral palmprint is three dimensional, most of the existing 2D based algorithms, such as collaborative representation (CR) based framework [15], may not fully explore the information on the spectral domain. Although 3D Gabor filter [18] can be utilized to encode the information on the joint spatial-spectral domain, the texture direction information such as the surface map may not be explored sufficiently. In this work, a novel response-competition (ResCom) feature is proposed to present the spectral information of hyperspectral palmprint based on 3D Gabor filters. Incorporated with the 2D surface map, the ResCom feature can encode not only the 2D texture but also the 3D response variation. Therefore, features of hyperspectral palmprint will be extracted efficiently on the joint spatial-spectral domain. By fusing Block-wise and ResCom features, the proposed approach achieves so far the highest recognition rate of 99.43% on the public hyperspectral palmprint database.

Original languageEnglish
Title of host publicationBiometric Recognition - 12th Chinese Conference, CCBR 2017, Proceedings
EditorsYunhong Wang, Yu Qiao, Jie Zhou, Jianjiang Feng, Zhenan Sun, Zhenhua Guo, Shiguang Shan, Linlin Shen, Shiqi Yu, Yong Xu
PublisherSpringer Verlag
Pages361-369
Number of pages9
ISBN (Print)9783319699226
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event12th Chinese Conference on Biometric Recognition, CCBR 2017 - Beijing, China
Duration: 28 Oct 201729 Oct 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10568 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th Chinese Conference on Biometric Recognition, CCBR 2017
Country/TerritoryChina
CityBeijing
Period28/10/1729/10/17

Keywords

  • 3D Gabor
  • Fusion feature
  • Hyperspectral palmprint

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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