DocumentCode :
1583844
Title :
Challenges of broken characters in character segmentation method for Gujarati printed documents
Author :
Shah, Riddhi J. ; Ratanpara, Tushar V.
Author_Institution :
Dept. of Comput. Eng., Dharmsinh Desai Univ., Nadiad, India
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
Character segmentation is an important step of optical character recognition (OCR) system. The segmentation of broken characters is one of the key factors which affect the performance of recognition system. So it is necessary to make OCR systems more effective and accurate for broken character segmentation. This paper explains the challenges in broken character segmentation method for Guajarati printed documents. Features and limitations of various methods in broken character segmentation are discussed. Different types of broken characters in Guajarati language are explained. Several challenges are explained for Gujarati broken character segmentation which is useful to implement broken character segmentation method.
Keywords :
image segmentation; optical character recognition; Guajarati printed documents; Gujarati printed documents; broken character segmentation; broken characters segmentation; optical character recognition; recognition system; Accuracy; Character recognition; Conferences; Image recognition; Image restoration; Image segmentation; Optical character recognition software; Broken characters; Optical character recognition; Recognition rate; Segmentation;
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.2015.7193263
Filename :
7193263
Link To Document :
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