Similarity measure using local phase features and its application to biometric recognition

Shoichiro AoyamA, Koichi Ito, Takafumi Aoki

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

10 Citations (Scopus)

Abstract

In the field of biometric recognition, similarity measure using local features such as Gabor-based coding, Local Binary Patterns (LBP) and Scale Invariant Feature Transform (SIFT) has been applied to various biometric recognition problems. These features, however, may not always exhibit higher recognition performance than the recognition algorithms of the specific biometric trait. In this paper, we propose a novel similarity measurement technique using local phase features for biometric recognition. The phase information obtained from 2D Discrete Fourier Transform (DFT) of images exhibits good performance for evaluating the similarity between images. The local phase features extracted from multi-scale image pyramids can handle nonlinear deformation of images. Through a set of experiments in some biometric recognition such as face, palmprint and finger knuckle recognition, we demonstrate the efficient performance and versatility of the proposed features compared with the state-of-the-art conventional algorithms.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013
Pages180-187
Number of pages8
DOIs
Publication statusPublished - 2013
Event2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013 - Portland, OR, United States
Duration: 2013 Jun 232013 Jun 28

Publication series

NameIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
ISSN (Print)2160-7508
ISSN (Electronic)2160-7516

Other

Other2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013
CountryUnited States
CityPortland, OR
Period13/6/2313/6/28

Keywords

  • biometrics
  • image matching
  • local phase features
  • phase-only correlation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Similarity measure using local phase features and its application to biometric recognition'. Together they form a unique fingerprint.

Cite this