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Detection of human faces in color image using genetic algorithm
Hong-Bin Deng Qing-Chuan Tao
Sch. of Inf. Eng., Beijing Inst. of Technol., 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): 3563- 3567 vol.6
ISSN:
ISBN: 0-7803-8403-2
INSPEC Accession Number: 8254316
Current Version Published: 2005-01-24

Abstract
A genetic approach for human faces detection is proposed. Firstly, the possible facial components are extracted from image, and then the geometry rules are employed to select the candidate eye pairs. Then genetic algorithm is applied to search for possible face regions from candidate eye pairs. The fitness value of each solution is measured based on the information of gray projection and skin-color distribution in face region. Experimental results show that the proposed approach is reliable, and it can detect the frontal human faces with various orientations.

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