Graph application on face for personal authentication and recognition

This paper presents a novel face recognition technique with graph topology drawn on scale invariant feature transform (SIFT) features and is compared with all the available well known techniques on SIFT features, and elastic bunch graph matching (EBGM) technique drawn on gabor wavelet feature. IITK face database is used for evaluation purpose. Test results show that the proposed graph matching technique will be an appropriate one for face recognition. Finally, the test results have been compared with the results found on BANCA face database following MC protocol only.

[1]  Norbert Krüger,et al.  Face recognition by elastic bunch graph matching , 1997, Proceedings of International Conference on Image Processing.

[2]  Enrico Grosso,et al.  Face Identification by SIFT-based Complete Graph Topology , 2007, 2007 IEEE Workshop on Automatic Identification Advanced Technologies.

[3]  Xiaoou Tang,et al.  Dual-space linear discriminant analysis for face recognition , 2004, CVPR 2004.

[4]  Andrea Lagorio,et al.  On the Use of SIFT Features for Face Authentication , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[5]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[6]  Te-Won Lee,et al.  Independent Component Analysis , 1998, Springer US.

[7]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[8]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[9]  R. Chellappa,et al.  Subspace Linear Discriminant Analysis for Face Recognition , 1999 .

[10]  Cordelia Schmid,et al.  An Affine Invariant Interest Point Detector , 2002, ECCV.

[11]  Luc Van Gool,et al.  Wide Baseline Stereo Matching based on Local, Affinely Invariant Regions , 2000, BMVC.

[12]  Aleix M. Martínez,et al.  Recognizing Imprecisely Localized, Partially Occluded, and Expression Variant Faces from a Single Sample per Class , 2002, IEEE Trans. Pattern Anal. Mach. Intell..