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Local Binary LDA for Face Recognition (CROSBI ID 171458)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Fratrić, Ivan ; Ribarić, Slobodan Local Binary LDA for Face Recognition // Lecture notes in computer science, 6583 (2011), 144-155. doi: 10.1007/978-3-642-19530-3_14

Podaci o odgovornosti

Fratrić, Ivan ; Ribarić, Slobodan

engleski

Local Binary LDA for Face Recognition

Extracting discriminatory features from images is a crucial task for biometric recognition. For this reason, we have developed a new method for the extraction of features from images that we have called local binary linear discriminant analysis (LBLDA), which combines the good characteristics of both LDA and local feature extraction methods. We demonstrated that binarizing the feature vector obtained by LBLDA significantly improves the recognition accuracy. The experimental results demonstrate the feasibility of the method for face recognition as follows: on XM2VTS face image database, a recognition accuracy of 96.44% is obtained using LBLDA, which is an improvement over LDA (94.41%). LBLDA can also outperform LDA in terms of computation speed.

Biometrics; Face recognition; Linear discriminant analysis; Local features

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Podaci o izdanju

6583

2011.

144-155

objavljeno

0302-9743

10.1007/978-3-642-19530-3_14

Povezanost rada

Računarstvo

Poveznice
Indeksiranost