Detecting the similarity of face image in images database is the most important part of almost all face recognition systems. This detection aims to determine the image of a face for verification purpose of documents such as passport, driving license, ID cards, etc. In this paper, a novel method for face recognition based on similarity measure method is proposed. In addition, new classes of the similarity measures based on Minkowski distance between fuzzy sets are introduced. The new measure classes increase the efficiency of the proposed method. The properties, sensitivity and effectiveness of the proposed measures are investigated and tested on 400 images from the ORL face database. Experimental results show that these similarity measures can give a useful way for measuring the similarity between fuzzy sets. The proposed method has shown the recognition accuracy for the ORL database.

algorithms, fuzzy sets, similarity measures, images retrieval, face recognitions.