Review: Face Detection and Recognition Techniques

Human face plays an important role in our social interaction, conveying people’s identity but it is a dynamic object and has a high degree of variability in its appearences.So to overcome this variability Face Detection and face recognition methods have been introduced. Face detection is the basic step of face recognition. In this paper, we present a comprehensive and critical survey of face detection and face recognition techniques. We present a neural network solution which comprises of identifying a face image from the face’s unique features. The basic idea is to identify some unique features in the face image of a person, extract that feature and compare. Approach and various methods which involve the text detection in natural image and extract the aligned text with composite background. In face recognition, we propose the concept of neural networks and PCA,LDA,MPCALDA in which we recognize an unknown test image by comparing it with the known training images stored in the database as well as give information regarding the person recognized. Back propagation algorithm give different rates of accuracy under different conditions as experimentally observed. In face detection, we have developed an algorithm that can detect human faces from an image. This paper describes our research progress towards a different approach for recognition techniques.