A Review on Various Techniques of Devanagari Script Recognition

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2016 by IJETT Journal
Volume-33 Number-6
Year of Publication : 2016
Authors : Pooja Yadav, Sonia Sharma
DOI :  10.14445/22315381/IJETT-V33P251


Pooja Yadav, Sonia Sharma"A Review on Various Techniques of Devanagari Script Recognition", International Journal of Engineering Trends and Technology (IJETT), V33(6),257-264 March 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Image processing has wide area for processing various functionality on image. Image with any pattern comes under the categories of pattern recognition where recognizing of the pattern can be any character, symbol, numeral or it can be any image also. Character Recognition (CR) has broad area of research in English as well as Hindi character. English language has been largely progressed to a level, sufficient to produce technology based applications. But Hindi languages are complicated structure and their computations so this language has not progressed well. Devanagari character recognition provides less correctness and efficiency. To recognize Hindi Devanagari script, various development done which is discuss in detail. Developers used to recognize the pattern with their structure, template, and graph. Some developers use classifiers to segmenting the characters.


[1] Yash Pal Singh, Abhilash Khare and Amit gupta,” Analysis of Hopfield Autoassociative Memory in the Character Recognition”, (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 03, 2010, 500-503
[2] Anshul Gupta, Manisha Srivastava and Chitralekha Mahanta,” Offline Handwritten Character Recognition Using Neural Network”, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2011), 2011
[3] Ashutosh Aggarwal, Rajneesh Rani and RenuDhir,”Handwritten Devanagari Character Recognition Using Gradient Features”, International Journal of Advanced Research in Computer Science and Software Engineering Research Paper,Volume 2,Issue 5, May 2012, ISSN: 2277 128X
[4] Ved Prakash Agnihotri,”Offline Handwritten Devanagari Script Recognition”, 378-1-3299-3020-6190/$31.00 ©2012 IEEE, 2012
[5] Dr. Latesh Malik,”A Graph Based Approach for Handwritten Devnagari Word Recognition”, Fifth International Conference on Emerging Trends in Engineering and Technology, 2012
[6] Shruti Agarwal and Dr. Naveen Hemarjani,”Offline Handwritten Character Recognition with Devnagari Script”, IOSR Journal of Computer Engineering (IOSR-JCE) ,Volume 12, Issue 2 (May. - Jun. 2013), PP 82-86, e-ISSN: 2278-0661, p- ISSN: 2278-8727
[7] S S Sayyad, Abhay Jadhav, Manoj Jadhav, Smita Miraje, Pradip Bele and Avinash Pandhare,”Devnagiri Character Recognition Using Neural Networks”, 2277-3754- 7156/$31.00 ©20l3 IEEE, July 2013
[8] Divakar Yadav, Sonia Sánchez-Cuadrado and Jorge Morato,”Optical Character Recognition for Hindi Language Using a Neural-network Approach”, J Inf Process Syst, Vol.9, No.1, March 2013
[9] Gayathri P and Sonal Ayyappan,” Off-line Handwritten character Recognition using Hidden Markov Model”, 978-1-4799-3080-7114/$31.00 ©20l4 IEEE, 2014
[10] Prof. Mukund R. Joshi and Miss. Vrushali V. Sabale,” Offline character recognition for printed text in Devanagari using Neural Network and Genetic Algorithm”, International Journal of Advanced Research in Computer and Communication Engineering Vol. 4, Issue 5, May 2015

Devanagari Script, Offline Character recognition, Feature Extraction, Segmentation, Neural Network.