A Novel Approach for Face Recognition and Age estimation using Local Binary Pattern, Discriminative approach using Two layered Back Propagation Network

The recent technology of image processing forms the basic principles of research entitled “A Novel Approach for Face Recognition and Age estimation using Local Binary Pattern, Discriminative approach using Two layered Back Propagation Network” has been developed to overcome the inconveniences faced by the organizations in recognizing the exact person. The proposed system sustains a high recognition rate in a wide range of resolution levels and it breaks the other alternative methods. Skin patches are also one of the features of our proposed work. We propose a face detection algorithm for different lighting conditions. Human Skin patches is also one of the parameter in the algorithm. The new methods using Local Binary Pattern, Discriminative approach, facial algorithm and two layered back propagation algorithm for identifying the face and as well as age estimation. The Texture features and Global features are extracted from the image in different scales. The Gradient Orientation Pyramid can be formed for calculating the Age Progression and Age Estimation. The proposed method having high calculation speed compared with the existing method using Back propagation network with single layer. The dataset are taken from FG-NET and Morph Dataset. The performance comparison has been done using different datasets.