DocumentCode :
1580031
Title :
Handwritten (Marathi) compound character recognition
Author :
Bhandare, Minakshi Sanjay ; Kakade, Anuradha Sopan
Author_Institution :
Dept. of Comput. Sci., Solapur Univ., Solapur, India
fYear :
2015
Firstpage :
1
Lastpage :
4
Abstract :
The past few years has concentrated research on OCR for Chinese, Japanese and many language scripts. A lot of work has been also reported on OCR for various Indian scripts, which are Devanagari, Malayalam, Bangla, Kannada, Gurumukhi, Gujarati, Oriya, Tamil, and Telugu etc. In this paper, we present our work using OCR on Indian scripts, mainly on Devanagari, the most popular script in India. Our work deals with the recognition of only the offline handwritten compound characters. In this work handwritten compound character recognition in scanned documents is introduced. There are many research paper presented a new perspective which improve the current system along with experimental results. The proper selection of the technique is most probable for achieving high performance with a better accuracy.
Keywords :
handwritten character recognition; natural language processing; Chinese; Indian scripts; Japanese; Marathi; OCR; handwritten compound character recognition; language scripts; Character recognition; Compounds; Databases; Handwriting recognition; Neural networks; Optical character recognition software; Compound character; Indian scripts; OCR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6817-6
Type :
conf
DOI :
10.1109/ICIIECS.2015.7193125
Filename :
7193125
Link To Document :
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