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Fuzzy and ISODATA classification of face contours
Hua Gu Guang-Da Su Cheng Du
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China;

This paper appears in: Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Publication Date: 26-29 Aug. 2004
Volume: 6, On page(s): 3568- 3573 vol.6
ISSN:
ISBN: 0-7803-8403-2
INSPEC Accession Number: 8244891
Current Version Published: 2005-01-24

Abstract
A method derived from fuzzy and ISODATA clustering algorithm is proposed to classify face contours. An improved ASM method is used to get face contours as one of face shape features. By using the modified ISODATA method based on Hausdorff distance, which is more suitable to classify "shape" features, face contours are clustering into 7 classes. Then the fuzzy c-mean clustering method is used to fuzzy categorize the face contours into different classes. Experiment shows that this clustering approach could automatic classify the human face contours fast and reasonably. Moreover, it could help to accelerate the speed of face recognition and improve the accuracy of face recognition.

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