Proceedings ArticleDOI
Devanagari character recognition using structure analysis
K. Jayanthi,Akihiro Suzuki,Hiroshi Kanai,Yoshiyuki Kawazoe,M. Kimura,Ken'iti Kido +5 more
- pp 363-366
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TLDR
A method of character recognition using prior knowledge of the script Devanagari, a script widely used in India at present and found in Buddhist texts of the past, is proposed.Abstract:
A method of character recognition using prior knowledge of the script is proposed Devanagari, a script widely used in India at present, and found in Buddhist texts of the past, is used for this purpose This study is confined to recognizing a particular font used in a printed Buddhist text: Saddharmapundarika >read more
Citations
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Journal ArticleDOI
Offline Recognition of Devanagari Script: A Survey
TL;DR: In this paper, the state of the art from 1970s of machine printed and handwritten Devanagari optical character recognition (OCR) is discussed in various sections of the paper.
Proceedings ArticleDOI
Fuzzy Model Based Recognition of Handwritten Hindi Characters
TL;DR: In this article, a modified exponential membership function fitted to the fuzzy sets derived from features consisting of normalized distances obtained using the Box approach was used for Hindi character recognition. But, the accuracy of the overall recognition rate was only 90.65%.
Journal ArticleDOI
Handwritten Devanagari Character Recognition Using Modified Lenet and Alexnet Convolution Neural Networks
Duddela Sai Prashanth,Duddela Sai Prashanth,R. Vasanth Kumar Mehta,Kadiyala Ramana,Vidhyacharan Bhaskar +4 more
TL;DR: A dataset of 38,750 images of Devanagari numerals, and vowels are generated and made publicly available for fellow researchers in this domain to progress the performance of HDCR.
Proceedings ArticleDOI
A study for handwritten Devanagari word recognition
TL;DR: In this research work, a practical study on isolated hand-printed words is conducted and some issues involved with the recognition and segmentation of hand- printed Devanagari words are also discussed.
Proceedings ArticleDOI
An OCR for Classical Indic Documents Containing Arbitrarily Long Words
TL;DR: A Sanskrit specific OCR system for printed classical Indic documents written in Sanskrit is developed, and an attention-based LSTM model for reading Sanskrit characters in line images is presented, setting the stage for application of OCRs on large corpora of classic Sanskrit texts containing arbitrarily long and highly conjoined words.
References
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