Face Recognition Using CBIR and Genetic Algorithm

Abstract

Face recognition is used worldwide for security purposes. The data used for facial recognition are frontal face images and retrieval of these images from the database is done using Content Based Image Retrieval or CBIR. Facial image recognition is done by extracting features from images and comparing these features with features of other frontal face images. The proposed system will use FCM and Fast Fourier Transform for feature extraction and Genetic Algorithm for comparison of these features and retrieval of most matching image from the database using CBIR. The proposed system can be used at airports, household security, Museums, etc. for security purposes and will help in identifying people much more accurately.