NDLI: Handwritten Devanagari Compound Character Recognition Using Legendre Moment: An Artificial Neural Network Approach

Content Provider	IEEE Xplore Digital Library
Author	Kale, K.V. Chavan, S.V. Kazi, M.M. Rode, Y.S.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci. & I.T., Dr. Babasaheb Ambedkar Marathwada Univ., Aurangabad, India (Kale, K.V.; Kazi, M.M.; Rode, Y.S.) \|\| Dept. of Comput. Sci., Commerce & Sci. Coll., Jalna, India (Chavan, S.V.)
Abstract	Handwritten Devanagari Compound character recognition is one of the new challenging task for the researcher, because Compound character are complex in structure, they are written by combination two or more character. Their occurrence in the script is up to 12 to 15%. In this research paper, a recognition system for handwritten Devanagari Compound Character is proposed bases on Legendre moment feature descriptor are used to recognize. Moment function have been successfully applied to many pattern recognition problem, due to this they tends to capture global features which makes them well suited as feature descriptor. The process image is normalized to 30X30 pixel size divided into zone, from this structural as well as statistical feature are extracted from each zone. The proposed system is trained and tested on 27000 handwritten collected from different people. For classification we have used Artificial Neural Network. The overall recognition rate for basic is up to 98.25% and for all compound character is 98.36%.
Starting Page	274
Ending Page	278
File Size	287407
Page Count	5
File Format	PDF
ISBN	9780769550664
e-ISBN	9780769550664
DOI	10.1109/ISCBI.2013.62
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-24
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Handwriting recognition ANN Text analysis Pattern Recognition Legendre Moment Databases Feature extraction Handwritten Devanagari Compound Character recognition Compounds
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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