Eye Localization using PCA Based Genetic Search
Hemanta Kumar Nayak1, Debaraj Rana2
1Hemanta Kumar Nayak, M.Tech Scholar, Dept of ECE Centurion University of Technology & Management Bhubaneswar, Odisha, India.
2Debaraj Rana, Asst. Prof, Department of ECE Centurion University of Technology & Management Bhubaneswar, Odisha, India.
Manuscript received on March 01, 2014. | Revised Manuscript Received on March 11, 2014. | Manuscript published on March 20, 2014. | PP: 28-32 | Volume-2, Issue-4, March 2014.
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© The Authors. Published By: Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, we propose a novel approach for eye localization from human face image using GA based on PCA. As the genetic algorithm is computationally intensive, the searching space is reduced and limited to the eye regions so that the required timing is greatly reduced. Here GA is used to search for the possible eye region in an image efficiently. Specifically, we use GAs to find image sub-windows that contain the eye region. Each sub-window is evaluated using a fitness function and subwindows containing eyes eye region is extracted. This is one of the major applications in case of retina recognition used in security purpose. The idea from the method of eigen-eye, and used to determine the fitness values.
Keywords: YCbCr, Skin Region extraction, PCA, Eigen Eyes, Genetic Algorithm.