I. INTRODUCTION
Gender means the range of physical, mental and behavioral characteristics which differentiate the masculinity and femininity. Gender classification is a binary classification technique to classify male and female .Gender classification from a person’s face play an important role in variety of Computer vision based application. Automated facial gender recognition has become an interesting and challenging research problems in recent years …show more content…
In computer vision it is used in image classification, where the features are treated as words. The Bag of Words model consists of three steps i)Feature Extraction ii)Feature description iii)classification. Using this model the key-point are extracted from the face images and the extracted key-points are converted into 128 dimensional vectors. The experiment consists of two stages i)Testing ii)Training. During the training stage all the 128 dimensional vectors are trained by using the SVM classifier. The testing faces are directly applied to the classifier in order to recognize the face