An effective analysis on Face Detection and Recognition using Genetic Algorithm through skin segmentation

Abstract

one of the most relevant applications of image processing and biometric systems is Face detection. With varying applications automatic analysis of human face is still a challenging and emerging problem as images have huge information and characteristics quantities. In this paper, we proposed a neural network and genetic algorithm based face recognition system inspired by the Darwin Evolutionist Theory to recognize and verify the person. Although different people have different skin color, several studies have shown that the basic difference based on their intensity rather than their chrominance. Moreover, Human skin color is an effective feature used to detect faces. Therefore, this research includes a general review of face detection studies and systems which based on different ANN approaches and algorithms.

Authors and Affiliations

Aanchal Chauhan, Zuber Farquooi

Keywords

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  • EP ID EP20902
  • DOI -
  • Views 283
  • Downloads 4

How To Cite

Aanchal Chauhan, Zuber Farquooi (2015). An effective analysis on Face Detection and Recognition using Genetic Algorithm through skin segmentation. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(6), -. https://europub.co.uk/articles/-A-20902