A New Approach to Detect and Recognize Face Using MSCR and Skin Color and Comparison with Knowledge, Text, and Edge based Techniques

Abstract

The Important role in various biometrics applications is face detection in face processing system. Various colors, brightness and pose they used in face detection are illuminization condition is very chhallanging task. There are two main scheme that solve the problem for this, first is skin color based and second is MSCR based approaches. They are simple, roboust and most popular For face detection this method is more faster than the algorithm available in this category. We have implemented this algorithm to get faster as well as accurate resut. Also we have used some existing algorithm to detect face with same input data and compared the results with our proposed algorithm. We have got better result as compare to other existing algorithm such as Text based, Edge Based and Knowledge Based.

Authors and Affiliations

Samiksha Shukla, Sunil Sharma

Keywords

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  • EP ID EP24108
  • DOI -
  • Views 300
  • Downloads 11

How To Cite

Samiksha Shukla, Sunil Sharma (2017). A New Approach to Detect and Recognize Face Using MSCR and Skin Color and Comparison with Knowledge, Text, and Edge based Techniques. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(5), -. https://europub.co.uk/articles/-A-24108