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

Wei Zhou*, Alireza Ahrary, Sei Ichiro Kamata

*この研究の対応する著者

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2009 IEEE 13th International Symposium on Consumer Electronics, ISCE 2009
ページ285-289
ページ数5
DOI
出版ステータスPublished - 2009 10月 27
イベント2009 IEEE 13th International Symposium on Consumer Electronics, ISCE 2009 - Kyoto, Japan
継続期間: 2009 5月 252009 5月 28

出版物シリーズ

名前Digest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN(印刷版)0747-668X

Conference

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

ASJC Scopus subject areas

  • 産業および生産工学
  • 電子工学および電気工学

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