Analysis and Prototype Sequences of Face Recognition Techniques in Real-Time Picture Processing

Abstract

The present-day implementation and demand of some real-time image processing applications are to be increased in various recent technologies. Some of these techniques are related to biometric applications such as fingerprint identification, face recognition, iris scan implementation, and speech identification; instead of all these techniques, face identification is an emerging concept in biometric applications with video summarization and surveillance, computer interaction with human being, face identification, and image databases in various applications to categorize face classification. In recent days, face identification is a rapid technology, which is a criminal forensic analysis, access control policy and prison dimensionality privacy with recent approaches. So, we have gone through formalized different approaches and techniques with feasible development of various biometric applications. We also discuss different classification and clustering techniques to extract all features of faces for identification in real-time applications. We also give all comprehensiveness with critical analysis in calculation of face detection in general implementation. This survey gives traditional methods to automatic face identification formulation to increase the performance in face identification. We also investigate review of implementation in data mining classification, clustering, and feature extraction methods with parameters which consist of face identification such as facial expression, variation, and facial illumination in biometric application developments.