Gender Classification using OpenCV and Feature Extraction

Face detection [1] is not an easy task for machines like it is for humans. The machines need to be trained thoroughly with many data, because the machines cannot understand by its own. When we the humans look at someone’s face, we may decode much information about the person just by looking at the face such as gender, age and sometimes behavior or calmness also. Our brain is also trained for recognizing gender from a face. The aim of this project is to appropriately train the machine using algorithms so that it can identify and detect the differences between male and female faces. The pixel and the data of the image are together known as the picture element. It is the compact most element of an image. Both the processes face recognition and face detection, mainly deal with the pixels and their respective picture elements. The attributes of the image or based upon the features extracted [2] from each image can be used for the face recognition.