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