Title:

An efficient method for human face recognition using nonsubsampled contourlet transform and support vector machine

Group publication title:

Optica Applicata

Creator:

Xu, Xuebin ; Zhang, Deyun ; Zhang, Xinman

Contributor:

Gaj, Miron. Redakcja ; Urbańczyk, Wacław. Redakcja

Subject and Keywords:

optyka ; multiscale geometric analysis ; face recognition ; nonsubsampled ; contourlet ; support vector machine

Description:

Optica Applicata, Vol. 39, 2009, nr 3, s. 601-615

Abstrakt:

To improve the recognition rate in different conditions, a multiscale face recognition method based on nonsubsampled contourlet transform and support vector machine is proposed in this paper. Firstly, all face images are decomposed by using nonsubsampled contourlet transform. The contourlet coefficients of low frequency and high frequency in different scales and various angles will be obtained. Most significant information of faces is contained in coefficients, which is important for face recognition. Then, the combinations of coefficients are applied as study samples to the support vector machine classifiers. Finally, the decomposed coefficients of testing face image are used to test classifiers, then face recognition results are obtained. The experiments are performed on the YaleB database and the Cambridge University ORL database. The results indicate that the method proposed has performs better than the wavelet-based method. Compared with the wavelet-based method, the proposed method can make the best recognition rates increase by 2.85% for YaleB database and 1.87% for ORL database, respectively. Our method is also suitable for other face databases and appears to work well.

Publisher:

Oficyna Wydawnicza Politechniki Wrocławskiej

Place of publication:

Wrocław

Date:

2009

Resource Type:

artykuł

Source:

<sygn. PWr A3481II> ; click here to follow the link ; click here to follow the link

Language:

eng

Relation:

Optica Applicata ; Optica Applicata, Vol. 39, 2009 ; Optica Applicata, Vol. 39, 2009, nr 3 ; Politechnika Wrocławska. Wydział Podstawowych Problemów Techniki

Rights:

Wszystkie prawa zastrzeżone (Copyright)

Access Rights:

Dla wszystkich w zakresie dozwolonego użytku

Location:

Politechnika Wrocławska