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Published Paper Details:
Paper Title
Exploring and Comparing Methods for Handwritten Devanagari Character Identification
Authors
Shiddesh Thube, Mr.Peeyush Pareek, Dr. Arshiya Khan, Dr. Prof. R Deshpande
Keywords
Keywords- Structural recognition, Image-based text extraction, Method comparison, Artificial neural network, KNN classifier, SVM algorithm, Image gradient histogram.
Abstract
it is not easy to read textual information in scanned images when the font style or the writing script is different a lot of work has been done on English text though Indian scripts have not been given much attention one of the most common is Devanagari used in Hindi Sanskrit Marathi and Kashmiri in the recent past scholars have been engaged in attempting to decode Devanagari letters the contribution of the present study is that it compares the four data-driven models namely Multi-layer Perceptron k-nearest neighbors support vector machine and random forest with two feature selection methods deep Convolutional model and histogram of oriented gradients the comparison will help in future research in getting better accuracy in recognition of scanned text in Indian languages
IJCRT's Publication Details
Unique Identification Number - IJCRT2506705
Paper ID - 289204
Page Number(s) - g49-g51
Pubished in - Volume 13 | Issue 6 | June 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Shiddesh Thube, Mr.Peeyush Pareek, Dr. Arshiya Khan, Dr. Prof. R Deshpande, "Exploring and Comparing Methods for Handwritten Devanagari Character Identification", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 6, pp.g49-g51, June 2025, Available at :http://www.ijcrt.org/papers/IJCRT2506705.pdf
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Volume 13 | Issue 12
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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