Feature Extraction and Searching People

The problem of face detection and face recognition is increasing with the advent of digitalization. One popular aspect of web-based platform is sharing of personal photographs. Facebook, in 2013, revealed that its users have uploaded more than 250 billion photos, and are uploading 350 million new photos each day. In today�s digital era, we come across situations where we have an image of any person and want to identify the person in the image and check whether he/she is present on social networking application. For this purpose, we have developed a stand-alone application and proposed a system that takes an image as input, processes it to detect human face in given image and draw a bounding box around the detected part in the image using Viola and Jones algorithm. The detected face iscompared with images in database of stand-alone application using Linear binary pattern algorithm and similarity score is provided for each comparison. The similarity scores are ranked and the image in database with highest similarity score is selected. Then it checks whether the minimum threshold of similarity is satisfied, based on which our system indicates that the person is recognized. The information about the detected person present in the stand-alone application database is displayed.