An automatic face detection and gender identification from color images using logistic regression

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.