DocumentCode
423777
Title
Detection of human faces in color image using genetic algorithm
Author
Deng, Hong-Bin ; Tao, Qing-Chuan
Author_Institution
Sch. of Inf. Eng., Beijing Inst. of Technol., China
Volume
6
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
3563
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.
Keywords
face recognition; feature extraction; genetic algorithms; image colour analysis; color image analysis; facial components extraction; genetic algorithm; gray projection; human faces detection; skin-color distribution; Color; Data mining; Eyes; Face detection; Face recognition; Genetic algorithms; Humans; Image edge detection; Skin; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1380407
Filename
1380407
Link To Document