Invariant Recognition of Face in Color Images with Texture Features

In recent years, face recognition has gained much attention in the midst of the researchers because it is one among the challenging task in image processing which is widely used in many real time applications such as medical imaging, industrial manufacturing and security systems. Many algorithms have been applied to improve the accuracy in recognition of the face. In this paper the algorithm is developed and implemented using statistical features of the texture properties in conjunction with skin tone regions to recognize the face. The face is detected with skin tone regions and texture features are calculated automatically for the same. In addition to the skin tone regions the texture properties are applied in the extraction of features could be definitely strengthen the system to recognize the face. The Indian face Database has been used for the frontal faces with different expressions and the proposed method is simple to achieve high recognition rates and low false positives.