Fast face recognition using the distance of fractal codes for the eyes
Shunbao Li · Guangdian gongcheng · 2007
Since recognizing the distance of fractal codes of face needs a large mount of time for iterative operation and calculation of the distance of each face in the face database, this paper presents the method for locating the eyes with high frequency subband in horizontal direction and extracting them from the face. Moreover, a fast face recognition algorithm based on the distance of fractal codes for eyes is proposed. Most images with large distance of fractal codes for eyes can be excluded by using this algorithm. The time needed by the proposed algorithm mainly depends on the size of eyes and the number of the final recognized images. The experimental results in ORL and YALE face databases show that, the average recognition rate retains about 90% while the number of the final recognized images is about 20% of the total number of the face images in the face database. Compared with the eigenface method and the method directly using the distance of fractal codes for face, the recognition rate is the same but the spent time is much less.