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|Keywords:||Discrete Cosine Transforms|
Hidden Markov Models
|Citation:||Proceedings of the IEEE International Symposium on Circuits and Systems (V 5), Geneva, Switzerland, 28-31 May 2000, V-305-V-308|
|Abstract:||A transform domain face recognition approach is presented. The DCT is coupled with the HMM to achieve a recognition rate of 100% on ORL face database of 40 subjects with 10 images per subject. The recognition time for ORL database is little over 2 Sec. 5 images of a subject are used to train HMM and remaining 5 are used for recognition test. The proposed method is tested on another face data base of 249 subjects with 3 training images and 4 test images per subject. The recognition rate is 90%. A test of recognition is carried out at different resolutions with recognition rate varing from 100% to 95% depending on the resolution. Further, a simple scheme is proposed to incorporate rejection of images of new subjects. On ORL database 100% rejection occurs for the images of new subjects.|
|Appears in Collections:||Proceedings papers|
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