Online Handwritten Indian Character Recognition and its Extension to Telugu Character Recognition
Srilakshmi Inuganti1, Rajeshwara Rao Ramisetty2

1Srilakshmi Inuganti, Lecturer, Department of Computer Science, Government Degree College for Women, Srikakulam (Andhra Pradesh), India.
2Dr. Rajeshwara Rao Ramisetty, Professor, Department of Computer Science and Engineering, JNTUK, UCE (Andhra Pradesh), India.
Manuscript received on 05 May 2019 | Revised Manuscript received on 17 May 2019 | Manuscript Published on 23 May 2019 | PP: 626-636 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F11100476S519/2019©BEIESP
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Abstract: In this paper, we portray the cutting edge of Online Handwritten Character Recognition (OHCR) as for preprocessing strategies, include extraction and acknowledgment techniques, alongside different information accumulation gadgets accessible. OHCR is the method of recognizing characters by a machine while the user writes, in which the handheld devices record (x, y) coordinates of the track of the character. With the advent of handheld devices, there is a great attention towards OHCR of regional languages. The datasets available in various Indian Script are also illustrated, as benchmarking database is very crucial for any research. Finally, future scope in Telugu OHCR is mentioned, as very less progress in Telugu script when compared to remaining Indian scripts.
Keywords: OHCR, Online Handwritten Character Recognition, OHCR a Survey, Telugu.
Scope of the Article: Pattern Recognition