Performance improvement of face recognition algorithms using occluded-region detection

Yuichiro Tajima, Koichi Ito, Takafumi Aoki, Tomoki Hosoi, Sei Nagashima, Koji Kobayashi

研究成果: Conference contribution

11 被引用数 (Scopus)

抄録

Facial occlusions such as eyeglasses, hairs and beards decrease the performance of face recognition algorithms. To improve the performance of face recognition algorithms, this paper proposes a novel framework of face recognition combined with the occluded-region detection method. In this paper, we detect occluded regions using Fast-Weighted Principal Component Analysis (FW-PCA) and use the occluded regions as weights for matching face images. To demonstrate the effectiveness of the proposed framework, we use two face recognition algorithms: Local Binary Patterns (LBP) and Phase-Only Correlation (POC). Experimental evaluation using public face image databases indicates performance improvement of the face recognition algorithms for face images with natural and artificial occlusions.

本文言語English
ホスト出版物のタイトルProceedings - 2013 International Conference on Biometrics, ICB 2013
出版社IEEE Computer Society
ISBN(印刷版)9781479903108
DOI
出版ステータスPublished - 2013
イベント6th IAPR International Conference on Biometrics, ICB 2013 - Madrid, Spain
継続期間: 2013 6月 42013 6月 7

出版物シリーズ

名前Proceedings - 2013 International Conference on Biometrics, ICB 2013

Other

Other6th IAPR International Conference on Biometrics, ICB 2013
国/地域Spain
CityMadrid
Period13/6/413/6/7

ASJC Scopus subject areas

  • バイオテクノロジー

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