Abstract
According to recent survey, there are at least 550 million people are using Devnagari script for communication. Hindi is one of the language, which is derived from Devnagari script. As it is a national language of India, Hindi Optical Character Recognition (OCR) System has a wide application in areas like post offices, Library automation, License Plate Recognition, Defense organization and many more government sectors. Research on printed and handwritten character recognition has been started before 50 years. Most of the research has been done for European texts. For any character recognition system, essential step is to identify individual character and find features to compare it with the template features. In this paper, we have proposed histogram based hierarchical approach for isolating individual character from the image document. For recognizing the characters, we can use Euclidean distanc, Pearson coefficient, chain code etc. Result shows that our system is quite robust and provides accuracy up to 92% for the charecter isolation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Singh, R., Yadav, C.S., Verma, P., Yadav, V.: Optical Character Recognition for Printed Devnagari Script Using Artificial Neural Network. IJCSC 1(1), 91–95 (2010)
Alam, M.M., Abul Kashem, M.: A Complete Devnagari OCR System for Printed Charecters. JCITÂ 1(1) (2010)
Plamondon, R., Srihari, S.N.: On-line and Off-line Handwriting Recognition: a Comprehensive Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(1), 63–84 (2000)
Koerich, A.L., Sabourin, R., Suen, C.Y.: Large Vocabulary Off-line Handwriting Recognition: a Survey. Pattern Analysis Applications 6, 97–121 (2003)
Arica, N., Yarman-Vural, T.: An Overview of Character Recognition Focused on Off-line andwriting. IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews 31(2) (2001)
Govindan, V.K., Shivaprasad, A.P.: Character Recognition – a Review. Pattern Recognition 23(7) (1990)
Pal, U., Chaudhuri, B.B.: Indian Script Character Recognition: A Survey. Pattern Recognition 37, 1887–1899 (2004)
Bansal, V.: Integrating Knowledge Sources in Devanagari Text Recognition System, Ph. D Thesis (1996)
Pal, U., Chaudhuri, B.B.: Printed Devanagari Script OCR system. Vivek 10, 12–24 (1997)
Chaudhuri, B.B., Pal, U.: An OCR System to Read Two Indian Language Scripts: Bangla and Devanagari. In: Proceedings of International Conference on Document Analysis and Recognition, pp. 1011–1015 (1997)
Hanmandlu, M., Ramana Murthy, O.V.: Fuzzy Model Based Recognition of Handwritten Hindi Numerals. Pattern Recognition 40(6), 1840–1854 (2006)
Bajaj, R., Dey, L., Chaudhury, S.: Devanagari Numeral Recognition by Combining Decision of Multiple Connectionist Classifiers. Sadhna 27, Part 1, 59–72 (2002)
Chan, K.F., Yeung, D.Y.: Elastic structural mapping for online handwritten alphanumeric character recognition. In: Proceedings of 14th International Conference on Pattern Recognition, Brisbane, Australia, pp. 1508–1511 (August 1998)
Li, X., Plamondon, R., Parizeau, M.: Model-based online handwritten digit recognition. In: Proceedings of 14th International Conference On Pattern Recognition, pp. 1134–1136, Brisbane, Australia (August 1998)
Manke, S., Bodenhausen, U.: A connectionist recognizer for online cursive handwriting recognition. In: Proceedings of ICASSP 1994, vol. 2, pp. 633–636 (1994)
Schomaker, L.R.B., Teulings, H.L.: A handwriting recognition system based on the properties and architectures of the human motor system. In: Proceedings of the IWFHR, CENPARMI, Concordia, Montreal, pp. 195–211 (1990)
Kahan, S., Pavlidis, T.: Recognition of printed characters of any font and size. IEEE Trans. Pattern Anal. and Mach. lnte. (9), 274–288 (1987)
Roy, A.K., Chatterjee, B.: Design of nearest neighbor classifier for Bengali character recognition. J. IEEEÂ 30 (1984)
Dutta, A., Chaudhury, S.: Bengali Alpha- Numeric Character Recognition Using Curvature Features. Pattern Recognition 26, 1707–1720 (1993)
Chaudhuri, B.B., Pal, U.: A Complctc Printed Bangla OCR System. Pattern Recognition 31, 531–549 (1997)
Arora, S., Bhattacharjee, D., Nasipuri, M., Malik, L., Kundu, M., Basu, D.K.: Performance Comparision of SVM and ANN for Handwritten Devnagari Character Recognition. IJCSIÂ 7(3) (May 6, 2010)
Holambe, A.N., Thool, R.C., Jagade, S.M.: Printed and Handwritten Character and Number Recognition of Devnagari Script Using Gradient Features. International Journal of Computer Applications 2(9), 38–41 (2010)
Kumar, V., Sengar, P.K.: Segmentation of Printed text in Devnagari Script and Gurumukhi Script. International Journal of Computer Application 3(8) (June 2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gajjar, T., Teraiya, R., Gohil, G., Goyani, M. (2011). Top Down Hierarchical Histogram Based Approach for Printed Devnagri Script Charecter Isolation. In: Nagamalai, D., Renault, E., Dhanuskodi, M. (eds) Advances in Digital Image Processing and Information Technology. DPPR 2011. Communications in Computer and Information Science, vol 205. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24055-3_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-24055-3_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24054-6
Online ISBN: 978-3-642-24055-3
eBook Packages: Computer ScienceComputer Science (R0)