Title :
Text line script identification for a tri-lingual document
Author :
Aithal, Prakash K. ; Rajesh, G. ; Acharya, Dinesh U. ; Subbareddy, N. V Krishnamoorthi M
Author_Institution :
Manipal Inst. of Technol., Manipal, India
Abstract :
India is a multilingual multi-script country. States of India follow a three language formula. The document may be printed in English, Hindi and other state official language. For example in Karnataka, a state in India, the document may contain text lines in English, Hindi script. For Optical Character Recognition (OCR) of such a multilingual document, it is necessary to identify the script before feeding the text lines to the OCRs of individual scripts. In this paper, a simple and efficient technique of script identification for Kannada, Hindi and English text lines from a printed document is presented. The proposed system uses horizontal projection profile to distinguish the three scripts. The feature extraction is done based on the horizontal projection profile of each text line. The knowledge base of the system is developed based on 15 different document images containing about 450 text lines. For a new text line, necessary features are extracted from the horizontal projection profile and compared with the stored knowledge base to classify the script. The proposed system is tested on 20 different document images containing about 200 text lines of each script and an overall classification rate of 99.83% is achieved.
Keywords :
document image processing; feature extraction; knowledge based systems; natural language processing; optical character recognition; text analysis; English language; Hindi language; Karnataka language; document images; feature extraction; knowledge base system; multilingual document; multilingual multiscript country; optical character recognition; text line script identification; tri-lingual document; Feature extraction; Histograms; Image segmentation; Knowledge based systems; Optical character recognition software; Shape; Text analysis;
Conference_Titel :
Computing Communication and Networking Technologies (ICCCNT), 2010 International Conference on
Conference_Location :
Karur
Print_ISBN :
978-1-4244-6591-0
DOI :
10.1109/ICCCNT.2010.5592562