Online Handwritten Character Recognition for Telugu Language Using Support Vector Machines
K. Vijay Kumar1, R. Rajeshwara Rao2
1K. Vijay Kumar, Asst. prof (CSE), Vivekananda Institute of Technology and Science SET, Karimnagar, (A.P), India.
2R.Rajeshwara Rao, Assoc. prof (CSE), JNTUK University College Of Engineering, Vizianagaram, (A.P), India.
Manuscript received on November 28, 2013. | Revised Manuscript received on December 15, 2013. | Manuscript published on December 30, 2013. | PP: 189-192 | Volume-3, Issue-2, December 2013. | Retrieval Number: B2424123213/2013©BEIESP
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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: A system for recognition of online handwritten telugu characters has been presented for Indian writing systems. A handwritten character is represented as a sequence of strokes whose features are extracted and classified. Support vector machines have been used for constructing the stroke recognition engine. The results have been presented after testing the system on Telugu scripts.
Keywords: Online Handwritten Character, Recognition, Stroke, feature extraction, Support Vector Machine.