System of face recognition using LDA with one training image per person

• Autorzy: Kukharev G. , Tujaka A. , Binh N.T
• Języki publikacji: EN

Abstrakty

EN

The paper addresses the problem of face recognition, using matrix description of original face images. Reduced dimensionality matrix representation of face image is obtained with linear discriminant analysis (LDA) applied simultaneously to rows and columns of original image matrix, called LDArc. We have extended the applicability of LDA to a case of one training image per person, using simple methods of training image “replication” with so called “down-sampling” procedure. Developed method is applied with success to a few well known face database, like ORL, FERET and Face94.

Słowa kluczowe

EN

face recognition; 2D linear discriminant analysis; one training image per person problem

• Wydawca: Komisja Informatyki Polskiej Akademii Nauk, Oddział w Gdańsku
• Czasopismo: Metody Informatyki Stosowanej
• Rocznik: 2008
• Tom: nr 3 (Tom 16)
• Strony: 167--185
• Opis fizyczny: Bibliogr. 32 poz., rys., tab.

Twórcy

autor

Kukharev G.

• Szczecin University of Technology, Poland

autor

Tujaka A.

• St.-Petersburg Electrotechnical University, Russia

autor

Binh N.T

• Ministry of Public Security, Vietnam

Bibliografia

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