IEEE Style Citation: Gita Sinha, Shailja Sharma, Ashif Habibi, “Review Paper: Devanagari and Gurumukhi Character Recognition,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.653-657, 2019.
MLA Style Citation: Gita Sinha, Shailja Sharma, Ashif Habibi "Review Paper: Devanagari and Gurumukhi Character Recognition." International Journal of Computer Sciences and Engineering 7.4 (2019): 653-657.
APA Style Citation: Gita Sinha, Shailja Sharma, Ashif Habibi, (2019). Review Paper: Devanagari and Gurumukhi Character Recognition. International Journal of Computer Sciences and Engineering, 7(4), 653-657.
BibTex Style Citation:
@article{Sinha_2019,
author = {Gita Sinha, Shailja Sharma, Ashif Habibi},
title = {Review Paper: Devanagari and Gurumukhi Character Recognition},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {653-657},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4093},
doi = {https://doi.org/10.26438/ijcse/v7i4.653657}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.653657}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4093
TI - Review Paper: Devanagari and Gurumukhi Character Recognition
T2 - International Journal of Computer Sciences and Engineering
AU - Gita Sinha, Shailja Sharma, Ashif Habibi
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 653-657
IS - 4
VL - 7
SN - 2347-2693
ER -
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Abstract
Development of OCRs for Indian script is an interesting area of research today. Indian scripts present great challenges to an OCR researcher due to the large number of letters in the alphabet, the sophisticated ways in which they combine, and the complicated graphemes they result in. The trouble is compounded by the unstructured manner in which popular fonts are designed. There is a many common structure in the different Indian scripts.This paper present brief review on online and offline character recognition of Devanagari and Gurumukhi script.India is a multi-lingual country consisting of eleven different scripts such as Gurmukhi, Tibetan ,Oriya, Urdu , Tamil Telgu etc. Devnagari is third most widely used script, used for several major languages such as Marathi, Hindi, Sanskrit, and Nepali, and is used by more than 500 million people. Punjabi belongs to Gurumukhi script which is an Indo-Aryan language spoken by approximate 130 million people mainly in West Punjab in Pakistan and in East Punjab in India. There are also substantial numbers of Punjabi speakers in the UK, Canada, the UAE, the USA, Saudi Arabia and Australia.
Key-Words / Index Term
Handwritten Devnagari and Gurmukhi Character Recognition, Off-line Handwriting Character Recognition, pre-processing Segmentation, Feature Extraction, and classification
References
[1] H. Swethalakshmi et al. “Online Handwritten Character Recognition of Devanagari and TeluguCharacters using Support Vector Machines” https://www.researchgate.net/publication/228382550 oct 2016
[2] KrishnamachariJayanthitet. al. “Devanagari Character Recognition Using Structure Analysis” CH2766 - 4/89/0000 - 0363 0 1989 IEEE
[3] Dharamveer Sharma et. al. “Recognition of Isolated Handwritten Characters in Gurmukhi Script” International Journal of Computer Applications August 2010 Volume 4– No.8, 0975 – 8887)
[4] Jayadevanet. al. “Offline Recognition of Devanagari Script: A Survey” IEEE Transactions on systems, man, and Cybernetics—part c: applications And reviews, november 2011 vol. 41, no. 6,
[5] Deepu Kumar et. al. “Review On Optical Character Recognition for Off-line Devanagari Handwritten Characters & Challenges” International Journal of Scientific Research in Computer Science, Engineering and Information Technology IJSRCSEIT | Volume 3 | Issue 3 | ISSN : 2456-3307 2018
[6] Ms.Smita Ashok rao Bhopi department Of Computer Science, IET “Review on Optical Character Recognition of Devanagari Script Using Neural network” International Journal on Future Revolution in Computer Science & Communication Engineering ISSN: 2454- 4248 Volume: 4 Issue: 3 415 – 420.
[7] PrasantaPratimBairagi “Optical Character Recognition for Hindi”International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 05 www.irjet.net p-ISSN: 2395-0072. May-2018
[8] SonalKhareet. al. present paper on “Handwritten Devanagari Character Recognition System: A Review”International Journal of Computer Applications (0975 – 8887) Volume 121 – No.9, July 2015
[9] Dharamveer Sharma et. al. “Recognition of Isolated Handwritten Charactersin Gurmukhi Script” International Journal of Computer Applications (0975 – 8887)Volume 4– No.8, August 2010
[10] M. K. Jindal et. al “Segmentation of Horizontally Overlapping lines inPrinted Gurmukhi Script” 1-4244-0716-8/06 IEEE 2006.
[11] Dharamveer Sharma et. al. “Recognition of Isolated Handwritten Characters of Gurumukhi Script using Neocognitron”International Journal of Computer Applications (0975 – 8887) Volume 10– No.8, November 2010.
[12] SonalKhareet. al. “Handwritten Devanaga ri Character Recognition System: A Review” International Journal of Computer Applications (0975 – 8887) Volume 121 – No.9, July 2015.
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