Face recognition using local quaternion patters and weighted spatially constrained earth mover's distance

Wei Zhou, Alireza Ahrary, Sei Ichiro Kamata

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

3 Citations (Scopus)

Abstract

This paper presents a novel algorithm for face recognition. Local Quaternion Patters (LQP) is proposed for presenting the feature parts in the face. To keep the spatial feature of the face, an asymmetric similarity measure Weighted Spatially constrained Earth Mover's Distance (WSEMD) is studied for classification. In this step, the source image is partitioned into non overlapping local patches while the destination image is represented as a set of overlapping local patches at different positions and Gaussian Kernel is used. Finally, local and global weighting is applied to get a more accurate classifier. To evaluate the proposed method and its performance, three well-known and challenge face databases - ORL, Yale and FERET are used in our study. The experimental results show that the proposed method has higher accuracy than some other classic methods.

Original languageEnglish
Title of host publication2009 IEEE 13th International Symposium on Consumer Electronics, ISCE 2009
Pages285-289
Number of pages5
DOIs
Publication statusPublished - 2009 Oct 27
Event2009 IEEE 13th International Symposium on Consumer Electronics, ISCE 2009 - Kyoto, Japan
Duration: 2009 May 252009 May 28

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X

Conference

Conference2009 IEEE 13th International Symposium on Consumer Electronics, ISCE 2009
CountryJapan
CityKyoto
Period09/5/2509/5/28

Keywords

  • Face recognition
  • Feature extraction
  • Local quaternion patterns (LQP)
  • WSEMD

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Face recognition using local quaternion patters and weighted spatially constrained earth mover's distance'. Together they form a unique fingerprint.

  • Cite this

    Zhou, W., Ahrary, A., & Kamata, S. I. (2009). Face recognition using local quaternion patters and weighted spatially constrained earth mover's distance. In 2009 IEEE 13th International Symposium on Consumer Electronics, ISCE 2009 (pp. 285-289). [5156971] (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). https://doi.org/10.1109/ISCE.2009.5156971