DocumentCode :
627225
Title :
An automatic face detection and gender identification from color images using logistic regression
Author :
Rahman, Md Hafizur ; Bashar, M. Abul ; Rafi, Fida Hasan Md ; Rahman, Tanvir ; Mitul, Abu Farzan
Author_Institution :
Int. Univ. of Bus. Agric. & Technol., Dhaka, Bangladesh
fYear :
2013
fDate :
17-18 May 2013
Firstpage :
1
Lastpage :
6
Abstract :
Computer vision and pattern recognition systems play an important role in our lives by means of automated face detection, face and gesture recognition, and estimation of gender and age. This paper presents a face detection and gender identification task of discriminating between images of faces of men and women from face images under non-uniform background. This is done by detecting the human face area in image given and detecting facial features based on the measurements in pixels. We preprocess the facial region by convolving with Gabor filters at five scales and eight orientations. We sample these responses and use them to form a feature vector. We use a classifier based on an additive sum of non-linear functions.
Keywords :
Gabor filters; face recognition; feature extraction; filtering theory; image classification; image colour analysis; regression analysis; Gabor filters; automatic face detection; classifier; color images; computer vision; face image nonuniform background; facial feature detection; facial region preprocessing; feature vector; gender identification; logistic regression; nonlinear function additive sum; pattern recognition; Databases; Face; Face detection; Gabor filters; Image color analysis; Lighting; Skin; face detection; feature selection; gabor filter; gender identification; logistic regression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2013 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4799-0397-9
Type :
conf
DOI :
10.1109/ICIEV.2013.6572576
Filename :
6572576
Link To Document :
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