Author :
Kohir, Vinayadatt V. ; Desai, U.B.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Mumbai, India
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
Keywords :
discrete cosine transforms; face recognition; hidden Markov models; ORL database; discrete cosine transform; face recognition; hidden Markov model; image rejection; Data security; Discrete cosine transforms; Discrete transforms; Face recognition; Hidden Markov models; Image databases; Image recognition; Image sampling; Laboratories; Testing;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.857425
