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An Enhanced Approach of Face Detection using Bacteria Foraging Technique

An Enhanced Approach of Face Detection using Bacteria Foraging Technique

Kapil Kumar Gupta, Rizwan Beg, Jitendra Kumar Niranjan
Copyright: © 2016 |Volume: 6 |Issue: 1 |Pages: 11
ISSN: 2155-6997|EISSN: 2155-6989|EISBN13: 9781466692565|DOI: 10.4018/IJCVIP.2016010101
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MLA

Gupta, Kapil Kumar, et al. "An Enhanced Approach of Face Detection using Bacteria Foraging Technique." IJCVIP vol.6, no.1 2016: pp.1-11. http://doi.org/10.4018/IJCVIP.2016010101

APA

Gupta, K. K., Beg, R., & Niranjan, J. K. (2016). An Enhanced Approach of Face Detection using Bacteria Foraging Technique. International Journal of Computer Vision and Image Processing (IJCVIP), 6(1), 1-11. http://doi.org/10.4018/IJCVIP.2016010101

Chicago

Gupta, Kapil Kumar, Rizwan Beg, and Jitendra Kumar Niranjan. "An Enhanced Approach of Face Detection using Bacteria Foraging Technique," International Journal of Computer Vision and Image Processing (IJCVIP) 6, no.1: 1-11. http://doi.org/10.4018/IJCVIP.2016010101

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Abstract

In this study, authors present an enhanced approach of face detection using bacteria foraging technique. This approach is based on chemotexis, reproduction and elimination and dispersal step. In this study the authors analysed face detection algorithm based on human skin color and fitting the ellipse as human face can be approximate by ellipse. Their approach for face detection requires no initial pre-processing of the image. A number of Bacteria agents with evolutionary behaviours are uniformly distributed in the 2-D image environment to search the skin-like pixels and locate each face-like region by evaluating the local color distribution. This approach has the advantage of very fast face detection by reducing pre-processing time of the image. This approach significantly improves face detection rate.

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