Fusion of Thepade SBTC and GLCM Features for Recognizing Gender from Facial Images

Due to noise and blurring effect while image capturing, poses, changes in the face due to jewelry, glasses, and age of the person gender classification is quite a difficult task. It is a very crucial topic for research in image processing. Many classification systems are designed by using various methods. In this paper, the classification system is created by machine learning. TSBTC algorithm is used for feature extraction. This paper compares the various feature extraction algorithms like TSBTC and GLCM etc. This experimentation is carried out using Matlab.