Gabor Features and Support Vector Machine for Face Identification(<Special Issue>BIOMETRICS AND ITS APPLICATIONS)

スポンサーリンク

概要

• 論文の詳細を見る

• A Support Vector Machine (SVM) face identification method using optimized Gabor features is presented in this paper. 200 Gabor features are first selected by a boosting algorithm, which are then combined with SVM to build a two-class based face recognition system. While computation and memory cost of the Gabor feature extraction process has been significantly reduced, our method has achieved the same accuracy as a Gabor feature and LDA based multi-class system.

• バイオメディカル・ファジィ・システム学会の論文

著者

• SHEN Linlin

  School of Computer & Software Engineering,, Shenzhen University

• Shen Linlin

  School Of Computer And Software Engineering Shenzhen University

関連論文

• A New Wavelet Domain Feature for Fingerprint Recognition(BIOMETRICS AND ITS APPLICATIONS)
• Gabor Features and Support Vector Machine for Face Identification(BIOMETRICS AND ITS APPLICATIONS)

スポンサーリンク