Automatic Telugu Handwritten Character Recognition with the Help of Legendre-Sobolev Divergent Machine Learning Model
P. V. Ramana Murthy1, CH. G. V. N. Prasad2 

1P.V. Ramana Murthy, Research Scholar, Rayalaseema University, Kurnool, AP, India (Associate Professor, Dept. of CSE, Malla Reddy Engineering College (Autonomous), JNTU-H Hyderabad, India).
2Dr. CH. G.V.N. Prasad, Professor, Dept. of CSE, SICET(A), JNTU-H Hyderabad, India.

Manuscript received on 17 March 2019 | Revised Manuscript received on 22 March 2019 | Manuscript published on 30 July 2019 | PP: 2283-2288 | Volume-8 Issue-2, July 2019 | Retrieval Number: B2630078219/19©BEIESP | DOI: 10.35940/ijrte.B2630.078219
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Abstract: Online handwriting recognition or character recognition is the process in which a handwritten message is recognized by processing the handwritten data. It is the way toward changing over manually written characters to machine design. In penmanship, the strokes are made out of two arrange follows in the middle of pen down and pen up marks. Wide scope of highlights is extricated to play out thse acknowledgment. A complete internet hand-written recognition system for Indian language such as Telugu that addresses the ambiguities in separation just as recognition of buttons the recognition relies on conceptual model of penmanship structure joined with either a prejudicial model for stroke command. Such a methodology be able to flawlessly incorporate language and content data in the reproductive model then manage comparative and non-comparable strokes utilizing the single discriminative stroke grouping model. In this examination, we are utilizing disparate Legendre Sobolev conditions with the assistance of AI model, to such an extent that accomplishes 99.65% precision and improved the condition of craftsmanship esteem.
Index Terms: Automatic Telugu Handwritten, Machine Learning, Legendre Sobolev Divergent Equation.

Scope of the Article: Machine Learning