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A Hybrid Recognition System of Handwritten OlChiki Character and Digit

SumantaDaw 1 , Abhoy Chand Mondal2

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-01 , Page no. 100-104, Jan-2019

Online published on Jan 20, 2019

Copyright © SumantaDaw, Abhoy Chand Mondal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: SumantaDaw, Abhoy Chand Mondal, “A Hybrid Recognition System of Handwritten OlChiki Character and Digit,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.01, pp.100-104, 2019.

MLA Style Citation: SumantaDaw, Abhoy Chand Mondal "A Hybrid Recognition System of Handwritten OlChiki Character and Digit." International Journal of Computer Sciences and Engineering 07.01 (2019): 100-104.

APA Style Citation: SumantaDaw, Abhoy Chand Mondal, (2019). A Hybrid Recognition System of Handwritten OlChiki Character and Digit. International Journal of Computer Sciences and Engineering, 07(01), 100-104.

BibTex Style Citation:
@article{Mondal_2019,
author = {SumantaDaw, Abhoy Chand Mondal},
title = {A Hybrid Recognition System of Handwritten OlChiki Character and Digit},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {07},
Issue = {01},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {100-104},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=601},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=601
TI - A Hybrid Recognition System of Handwritten OlChiki Character and Digit
T2 - International Journal of Computer Sciences and Engineering
AU - SumantaDaw, Abhoy Chand Mondal
PY - 2019
DA - 2019/01/20
PB - IJCSE, Indore, INDIA
SP - 100-104
IS - 01
VL - 07
SN - 2347-2693
ER -

           

Abstract

The process of recognizing scanned documents or machine printed documents using automated tools are used in different real life domains. Designing a method with cent percent accuracy of character recognition is a challenging and unachievable task. Presence of noise, distinct styles of font under real time environment makes character recognition more difficult. In this paper we describe recognition of handwritten basic characters of OlChiki script, used by more than 10 million tribal people in India mostly from Assam, Bengal, Bihar, Odisha and Jharkhand. There are 30 basic characters and 10 numeral digits in OlChiki and we have used a dataset of 10000 handwritten isolated character samples written by 50 persons. Samples in this dataset are composed of one stroke. Curvelet and Geometry based feature extraction has been used for comparison of performance. Strokes are recognized dynamically by using KNN and SVM classifier together. We have received an encouraging recognition result of 87% accuracy.

Key-Words / Index Term

OlChiki Script, Basic Character Recognition, Curvelet based Feature, Geometry based Feature, KNN Classifier, SVM Classifier

References

[1] Marine Carrin, “The impact of cultural diversity and globalization in developing a Santali peer culture in Middle India”,EMIGRA Working Papers, ISSN 2013-3804.
[2] R.C. Hansdah, N.C. Murmu, “Encoding of OlChiki in Universal Character Set” - ISO/IEC 10646.
[3] N. Otsu, “A Threshold Selection Method from Grey-Level Histogram”, IEEE Trans Systems, Man & Cybernetics, vol. 9, no. 1, pp. 62 – 66, 1979.
[4] V.N. Vapnik, “The Nature of Statistical Learning Theory”, 2nd ed., Springer, 2000.
[5] Y. Yang, “Expert Network: Effective and Efficient Learning from Human Decisions in Text Categorization and Retrieval”, Proc. 17th Annual Intl. ACM SIGIR Conf. Research & Development in Information Retrieval , Dublin (Ireland), pp. 13 – 22, 1994.
[6] Singh, Mittal, Ghosh, “An Evaluation of Different Feature Extractors and Classifiers for Offline Handwritten Devnagari Character Recognition” – Journal of Pattern Recognition Research 2 (2011), pp. 269-277.
[7] SumantaDaw, Abhoy Chand Mondal, “A Font Invariant OlChiki Basic Character Recognition using Digital Curvlet Transformation”-ICCS 2013.