Appearance Global and Local Structure Fusion for Face Image Recognition

Arif Muntasa, Indah Agustien Sirajudin, Mauridhi Hery Purnomo

Abstract


Principal component analysis (PCA) and linear descriminant analysis (LDA) are an extraction method based on appearance with the global structure features. The global structure features have a weakness; that is the local structure features can not be characterized. Whereas locality preserving projection (LPP) and orthogonal laplacianfaces (OLF) methods are an appearance extraction with the local structure features, but the global structure features are ignored. For both the global and the local structure features are very important. Feature extraction by using the global or the local structures is not enough. In this research, it is proposed to fuse the global and the local structure features based on appearance. The extraction results of PCA and LDA methods are fused to the extraction results of LPP. Modelling results were tested on the Olivetty Research Laboratory database face images. The experimental results show that our proposed method has achieved higher recognation rate than PCA, LDA, LPP and OLF Methods.


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References


Cai D, He X, Han J, Zhang HJ. Orthogonal laplacianfaces for face recognition. IEEE Transactions on Image Processing, 2006, 15(11): 3608–3614.

He X, Yan S, Hu Y, Niyogi P, Zhang HJ. Face recognition using laplacianfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2005, 27(3):328–340.

Cai D, He X, Han J. Using Graph Model for Face Analysis. University of Illinois at Urbana-Champaign and University of Chicago. 2005.

Kokiopoulou E, Saad Y. Orthogonal Neighborhood Preserving Projections. University of Minnesota. Minneapolis. 2004.

Yambor WS. Analysis of PCA-Based and Fisher Discriminant-Based Image Recognition Algorithms. Tesis of Master. Colorado: Colorado State University; 2000.

Syaid AK. The Discrete Cosine Transform (DST): Theory and Application. Department of Electrical & Computer Engineering Michigan State University. 2003.

Batur AU, Hayes MH. Linear Subspace for Illumination Robust Face Recognition. Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition. Atlanta. 2001: II-296.

Mika S, R¨atsch G, Weston J, Sch¨olkopf B, Mller KR. Fisher discriminant analysis with kernels. IEEE Workshop on Neural Networks for Signal Processing IX. Berlin. 1999: 41-48.

Muntasa A, Hariadi M, Purnomo MH. Automatic Eigenface Selection For Face Recognition. The 9th Seminar on Intelligent Technology and Its Applications. Surabaya. 2008: 29-34.

Turk MA, Pentland AP. Eigenfaces for recognition. Journal of Cognitive Neurosicence. 1991: 3(1) 71-86.

Turk MA, Pentland AP. Face Recognition Using Eigenfaces. IEEE Conf. on Computer Vision and Pattern Recognition. Cambridge.1991. 586-591.

Belhumeur JHPN, Kriegman D. Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. IEEE Trans. on PAMI. 1997; 19(7): 711–720.

Research Center of Att, UK, Olivetti-Att-ORL FaceDatabase, http://www.uk.research.att.com/facedatabase.html. last accessed date: 9 Oct 2009.

Made N, Sulaiman R. Sistem Pengenalan Wajah Pada Subruang Orthogonal Dengan Menggunakan Laplacianfaces Terdekomposisi Qr, Seminar nasional Pasca Sarjana VI. ITS Surabaya. 2006.

Zhao W, Chellappa R, Krishnaswamy A. Discriminant Analysis of Principal Components for Face Recognition. Proc. Of the 3rd IEEE International Conference on Automatic Face and Gesture Recognition. Nara, Japan. 1998: 336-341.

Lu X, Wang Y, Jain AK. Combining classifiers for face recognition. ICME International Conference on Multimedia and Expo. Maryland. 2003: 13-16.

Murinto. Pengenalan Wajah Manusia Dengan Metode Principle Component Analysis (PCA). TELKOMNIKA. 2007; 5(3): 177-184.




DOI: http://doi.org/10.12928/telkomnika.v9i1.678

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