Abstract
Face detection is a grave concern in digital image processing and automatic face recognition system. This research work proposed a complete mechanism for face detection using R, G, B color segmentation and search optimization scheme with Genetic Algorithm, also refer a discrete technique that is appropriate for combinatorial problems. In this paper we tried to build an R, G, B color range that will shelter a skin part from an image and handover a best fitted solution as fitness function for GA to perform further operation to detect images in complex background. In this paper our tryout are to enrich detection accuracy in lesser computational time. The evaluation shows that this algorithm is capable to detect the face from complex background conditions and for side faces too. This algorithm is tested on a wide number of test images. All the simulation has been done on MATLAB.
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Srivastava, D.K., Budhraja, T. (2016). An Effective Model for Face Detection Using R, G, B Color Segmentation with Genetic Algorithm. In: Satapathy, S., Das, S. (eds) Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 2. Smart Innovation, Systems and Technologies, vol 51. Springer, Cham. https://doi.org/10.1007/978-3-319-30927-9_5
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DOI: https://doi.org/10.1007/978-3-319-30927-9_5
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