Human face recognition using volume feature, fuzzy c-means and membership matching score

Authors:
Supawee Makdee;Chom Kimpan;Seri Pansang
Affiliations:
Faculty of Industrial Technology, Rajabhat Ubon Ratchathani University, Thailand;Faculty of Information Technology, Rangsit University, Bangkok, Thailand;Faculty of Science and Technology, Rajabhat Chiang Mai University, Chiang Mai, Thailand
Venue:
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Year:
2006

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Abstract

This study tends to propose the process of nose tip volume which is applied in face image recognition. Range image face database (RIFD) used in this face recognition is based on 3-D graphics database. For this advantage, we could solve scale, center and pose error problem by using geometric transform. Nose tip is assigned as the center to find volume feature. RIFD was transformed to the gradient face model for matching using the fuzzy membership adjusted by fuzzy c-means. The propose method was tested using facial range image from 130 people with normal facial expression. The output of the detection and recognition system has to be accurate for more than 80 percent and the processing time of the recognition system has to be better than [1-2] by the speeding up to 20 times.