earticle

영어

So far, numerous methods have been proposed for face recognition based on single image person. In this paper, we introduce a new recognition algorithm based on feature vectors of three types of moments and fuzzy combination of them. We used an ethnic database in our experiments that are distinctly different from other famous databases such as AR and FERET. In ethnic database women have Hijab that is important feature in Muslim community such as Arabian countries. Also most of men have beard or mustache in these nations. Experimental results show that these features increase the recognition rate. Really, these characteristics eliminate the false recognition between male and female in the process. Subsets of 100 images from ethnic, AR and FERET are used in our experiments. Proposed method achieves 96% accuracy for ethnic database that is higher than two other databases.