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A Novel Approach for Bilingual (English - Oriya) Script Identification and Recognition in a Printed Document
Sanghamitra Mohanty, Himadri Nandini Das Bebartta
Pages - 175 - 191     |    Revised - 30-4-2010     |    Published - 10-06-2010
Volume - 4   Issue - 2    |    Publication Date - May 2010  Table of Contents
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KEYWORDS
Script separation, Indian script, Bilingual (English-Oriya) OCR, Horizontal profiles
ABSTRACT
In most of our official papers, school text books, it is observed that English words interspersed within the Indian languages. So there is need for an Optical Character Recognition (OCR) system which can recognize these bilingual documents and store it for future use. In this paper we present an OCR system developed for the recognition of Indian language i.e. Oriya and Roman scripts for printed documents. For such purpose, it is necessary to separate different scripts before feeding them to their individual OCR system. Firstly, we need to correct the skew followed by segmentation. Here we propose the script differentiation line-wise. We emphasize on Upper and lower matras associated with Oriya and absent in English. We have used horizontal histogram for line distinction belonging to different script. After separation different scripts are sent to their individual recognition engines.
CITED BY (14)  
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2 Singh, P. K., Sarkar, R., & Nasipuri, M. (2015). Offline Script Identification from multilingual Indic-script documents: A state-of-the-art. Computer Science Review, 15, 1-28.
3 Bandyopadhyay, S. (2014). Maximum Common Sub-graph Based Approach For Handwritten Oriya Digits (Doctoral dissertation, Jadavpur University Kolkata).
4 Bhattacharjee, D., Tripathi, D., Debnath, R., Hanumante, V., & Roy, S. A Novel Approach for Character Recognition. International Journal of Engineering Trends and Technology (IJETT)–Volume, 10.
5 Anand, R., Khanna, R., Student, N. C., & Israna, P. (2013). International Journal of Emerging Technologies in Computational and Applied Sciences (IJETCAS) www. iasir. net. CYBERNETICS: SYSTEMS, 43(4).
6 Abel, K. (2013). Benefits of shifting freight delivery to night time, considering routing and environmental effects for addis ababa city (doctoral dissertation, aau).
7 Bhattacharjee, D., Tripathi, D., Debnath, R., Hanumante, V., Roy, S., & Roy, S. Nav view search.
8 ABEBAYEHU, S. (2012). Amharic-English Script Identification in Real-Life Document Images (Doctoral dissertation, aau).
9 SAMUEL, A. (2012). school of graduate studies school of information science (Doctoral dissertation, Addis Ababa University).
10 Sarangi, P. K., Sahoo, A. K., & Ahmed, P. (2012). Recognition of Isolated Handwritten Oriya Numerals using Hopfield Neural Network. International Journal of Computer Applications, 40(8), 36-42.
11 Senapati, D., Rout, S., & Nayak, M. (2012, July). A novel approach to text line and word segmentation on odia printed documents. In Computing Communication & Networking Technologies (ICCCNT), 2012 Third International Conference on (pp. 1-6). IEEE.
12 Mohanty, S., Himadri, N., & Bebartta, I. D. (2011). A Comparative Analysis of Classifiers Accuracies for Bilingual Printed Documents (Oriya-English). International Journal of Computer Science and Information Technologies, 2(2), 18.
13 Senapati, D., Rout, S., Padhi, D., & Mishra, S. (2011). Text Line Segmentation on Odiya Printed Documents. International Journal of Advanced Research in Computer Science, 2(6).
14 Patil, S. B. (2011). Neural Network based Bilingual OCR System: Experiment with English and Kannada Bilingual Documents. International Journal of Computer Applications, 13(8), 6-14.
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Mr. Sanghamitra Mohanty
- India
sangham1@rediffmail.com
Himadri Nandini Das Bebartta
-


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