Junction Point Elimination based Tamil Handwritten Character Recognition: An Experimental Analysis-Reference-Cited by-同舟云学术

Junction Point Elimination based Tamil Handwritten Character Recognition: An Experimental Analysis

Published:2019-12-02 Issue:1 Volume:29 Page:100-123
ISSN:1004-3756
Container-title:Journal of Systems Science and Systems Engineering
language:en
Short-container-title:J. Syst. Sci. Syst. Eng.

Author:

Raj M. Antony Robert,Abirami S.

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11518-019-5436-6.pdf

Reference45 articles.

1. Abdelhak Boukharouba, Abdelhak Bennia (2017). Novel feature extraction technique forthe recognition of hand-written digits. Saudi Computer Society, Applied Computing and Informatics 13:1926.

2. Abirami S, Manjula D (2009). Feature string based intelligent information retrieval from Tamil document images. International Journal of Computer Applications in Technology 35:150–164.

3. Antony Robert Raj M, Abirami S (2012). A Survey onTamil handwritten character recognition using OCR techniques. The Second International Conference on Computer Science Engineering and Applications (CCSEA) 05:115–127.

4. Antony Robert Raj M, Abirami S (2013). Analysisofstatisti-cal feature extraction approaches used Tamil handwritten OCR. 12th Tamil Internet Conference-INFITT: 114–150.

5. Antony Robert Raj M, Abirami S (2014). Hybrid features based offline Tamil handwritten character recognition. 14th International Tamil Internet Conference: 360–370.

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