Sketch Photosynthesis and Classification using KNearest Neighbor Classifier
R. Gayathri1, S. Ragavi2, J. Dharani3, M. Aasha4
1Gayathri .R*, Department of Computer Science and Engineering, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India.
2Ragavi. S, Department of Computer Science and Engineering, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India.
3Dharani. J, Department of Computer Science and Engineering, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India.
4Aasha. M, Department of Computer Science and Engineering, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India.
Manuscript received on May 03, 2020. | Revised Manuscript received on May 15, 2020. | Manuscript published on June 30, 2020. | PP: 18-20 | Volume-9 Issue-5, June 2020. | Retrieval Number: D9140049420/2020©BEIESP | DOI: 10.35940/ijeat.D9140.069520
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© The Authors. Blue Eyes Intelligence Engineering and 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: Sketch-photosynthesis approach is sketching the face of the photograph. Sketch-photosynthesis makes use of a strategy of equivalent composite comic strip with photograph. The capabilities are separated and combined to teach the system. In this paper caricature photosynthesis using K-means and Knearest neighbor classifier is used to sketch the photograph. The K-means algorithm in data mining starts from the primary organization of randomly decided on centroids. It is practiced as the starting point for every cluster because it plays iterative calculations to optimize the positions of the centroids
Keywords: Sketch-photosynthesis, K-means, K-nearest classifier