Input: The face image dataset are implemented as input image. The input images are taken in the format .jpg or .png
Preprocessing: The collected input images are subjected to preprocessing. In the Preprocessing step we can implement the image resize and noise filtering are performed.
Face detection & extraction: In this face detection process is implemented the Viola-Jones is used to detect the face region and the detected region will extracted.
Feature Extraction: In the feature extraction process, we can implement the Local binary pattern to extract the facial features, by using these method to extract features.
Classification: In this step to implement the Distance Based Classifier is used to specify the detect the person relevant to the input image.