Effective Printed Tamil Text Segmentation and Recognition Using Bayesian Classifier-Reference-Cited by-同舟云学术

Effective Printed Tamil Text Segmentation and Recognition Using Bayesian Classifier

Published:2017 Issue: Volume: Page:729-738
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Manisha S.,Sree Sharmila T.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-3874-7_69

Reference19 articles.

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2. S.M. Shyni, M. Antony Robert Raj and S. Abirami, “Offline Tamil Handwritten Character Recognition Using Sub Line Direction and Bounding Box Techniques”, Indian Journal of Science and Technology, Vol 8(S7), pp 110–116, 2015.

3. M. Antony Robert Raj, Dr. S. Abirami, “A Survey on Tamil Handwritten Character Recognition using OCR Techniques”, CCSEA, SEA, CLOUD, DKMP, CS & IT 05, pp. 115–127, 2012.

4. Dr. C.P. Sumathi, S. Karpagavalli, “Techniques and methodologies for Recognition of Tamil Typewritten and Handwritten Characters: A Survey”, International Journal of Computer Science & Engineering Survey, Vol 3 (6), pp 23–35, 2012.

5. Mallikarjun Hangarge, K.C. Santosh, Srikanth Doddamani, Rajmohan Pardeshi, “Statistical Texture Features based Handwritten and Printed Text Classification in South Indian Documents”, In proceedings of ICECIT, pp 215–221, 2012.

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