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1 Foundations of Computing and Decision Sciences

1 2002

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Integration of kernel and DCT coefficient fuzzy matching techniques for human face recognition

Bhattacharjee D., Basu D. K., Nasipuri M., Kundu M.

Foundations of Computing and Decision Sciences

2002

Vol. 27, No. 2

61-76

In this paper we describe results of human face recognition using integration of two different fuzzy matching methods. The first method is based on the kernel matching concept. In this method the system is trained with different images of the same class. During training the presence of (55)-derived kernels are considered. Based on the presence or absence of kernels in different images of the same class one reference matrix is computed and using a fuzzy membership function on deviation of individual images from the values of reference matrix two tolerance matrices are created. In the second method using local shift invariant Discrete Cosine Transform (DCT) coefficients of images of a class, another set of reference matrix and two tolerance matrices are created in a same way as in the first method. For testing the image in a class, the values of the matching of input image with reference matrices for two different methods are calculated and classified based on their respective tolerance matrices. The final result is obtained by integrating the results from both the methods. The result of recognition is very high, where error rate is only 2.625% with false acceptance rate of 1.86%.