Face recognition using gradient based local feature matching

In this paper a measure that computes dissimilarity score is proposed that can be used to find out the distance between two face samples. Gradient Binary Pattern are applied over face samples to transform them into some robust representation. Later corner features are extracted and they are tracked using KL-tracking and the number of unsuccessfully tracked corners are counted between each testing and training images. Four publicly available face databases are used for system testing, viz. YALE, BERN, ORL, CALTECH.

[1]  Kin-Man Lam,et al.  Spatially eigen-weighted Hausdorff distances for human face recognition , 2003, Pattern Recognit..

[2]  Guodong Guo,et al.  Support vector machines for face recognition , 2001, Image Vis. Comput..

[3]  Phalguni Gupta,et al.  Comparing human faces using edge weighted dissimilarity measure , 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

[4]  Hiroshi Nakajima,et al.  An Effective Approach for Iris Recognition Using Phase-Based Image Matching , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[6]  Ah Chung Tsoi,et al.  Face recognition: a convolutional neural-network approach , 1997, IEEE Trans. Neural Networks.

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

[8]  Phalguni Gupta,et al.  An Efficient Finger-Knuckle-Print Based Recognition System Fusing SIFT and SURF Matching Scores , 2011, ICICS.

[9]  Phalguni Gupta,et al.  Iris Segmentation Using Improved Hough Transform , 2012, ICIC.

[10]  Kin-Man Lam,et al.  Human face recognition based on spatially weighted Hausdorff distance , 2003, Pattern Recognit. Lett..

[11]  Puneet Gupta,et al.  Four Slap Fingerprint Segmentation , 2012, ICIC.

[12]  Guodong Guo,et al.  Face recognition by support vector machines , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

[13]  Daniel P. Huttenlocher,et al.  Comparing Images Using the Hausdorff Distance , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

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

[15]  Barnabás Takács,et al.  Comparing face images using the modified Hausdorff distance , 1998, Pattern Recognit..

[16]  Jeet Kumar,et al.  An Efficient Pose Invariant Face Recognition System , 2011, SocProS.

[17]  Phalguni Gupta,et al.  Finger Knuckleprint Based Recognition System Using Feature Tracking , 2011, CCBR.

[18]  Phalguni Gupta,et al.  A New Distance Measure for Face Recognition System , 2009, 2009 Fifth International Conference on Image and Graphics.