Robust & Accurate Face Recognition using Histograms

Abstract

A large number of face recognition algorithms have been developed from decades. Face recognition systems have been grabbing high attention from commercial market point of view as well as pattern recognition field. It also stands high in researchers community. Face recognition have been fast growing, challenging and interesting area in real-time applications. This face recognition system detects the faces in a picture taken by web-cam or a digital camera, and these face images are then checked with training image dataset based on descriptive features. In this paper, we use a histogram approach for human face detection. Since different faces contains different facial features, having the features which are unique. In this paper the vector machine is used for skin detection and face detection.

Authors and Affiliations

Sarbjeet Singh, Meenakshi Sharma and Dr. N. Suresh Rao

Keywords

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  • EP ID EP26606
  • DOI -
  • Views 337
  • Downloads 5

How To Cite

Sarbjeet Singh, Meenakshi Sharma and Dr. N. Suresh Rao (2012). Robust & Accurate Face Recognition using Histograms. International Journal of Engineering, Science and Mathematics, 2(4), -. https://europub.co.uk./articles/-A-26606