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
CITATION STYLE
P, C. C., Kohir, V. V., Desai, U. B., Cabello Pardos, E., Belén, A., Díaz, M., & Físicas, C. C. (2003). Reconocimiento de rostros basado en caracter ´ ısticas invariantes. 2000 IEEE International Symposium on Circuits and Systems Emerging Technologies for the 21st Century Proceedings IEEE Cat No00CH36353, 5(2), 135. Retrieved from http://dialnet.unirioja.es/servlet/tesis?codigo=2586&info=resumen&idioma=SPA
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