Abstract
Recognition of handwritten characters is a challenging task because of the variability involved in the writing styles of different individuals. In this paper we propose a quadratic classifier based scheme for the recognition of off-line Devnagari handwritten characters. The features used in the classifier are obtained from the directional chain code information of the contour points of the characters. The bounding box of a character is segmented into blocks and the chain code histogram is computed in each of the blocks. Based on the chain code histogram, here we have used 64 dimensional features for recognition. These chain code features are fed to the quadratic classifier for recognition. From the proposed scheme we obtained 98.86% and 80.36% recognition accuracy on Devnagari numerals and characters, respectively. We used five-fold cross-validation technique for result computation.
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
Plamondon, R., Srihari, S.N.: On-Line and off-line handwritten recognition: A comprehensive survey. IEEE Trans on PAMI 22, 62–84 (2000)
Pal, U., Chaudhuri, B.B.: Indian script character recognition: A Survey. Pattern Recognition 37, 1887–1899 (2004)
Chaudhuri, B.B., Pal, U.: A complete printed Bangla OCR system. Pattern Recognition 31, 531–549 (1998)
Aparna, K.G., Ramakrishnan, A.G.: A Complete Tamil Optical Character Recognition System. In: Proc. in the 5th Intl workshop on Document Analysis and Systems, pp. 53–57 (2002)
Bansal, V., Sinha, R.M.K.: Integrating Knowledge Sources in Devanagari Text Recognition. IEEE Transaction on Systems, Man and Cybernetics 30, 4 (2000)
Yu, D., Yan, H.: Reconstruction of broken handwritten digits based on structural morphological features. Pattern Recognition 34(2), 235–254 (2001)
Cai, J., Liu, Z.Q.: Integration of structural and statistical information for unconstrained handwritten character recognition. IEEE PAMI 21, 263–270 (1999)
Byan, H., Lee, S.W.: A Survey on pattern recognition application of support vector machines. IJPRAI 17, 459–486 (2003)
Wunsch, P., Laine, A.F.: Wavelet Descriptors for Multi-resolution Recognition of Hand-printed Digits. Pattern Recognition 28, 56–66 (1995)
Chin, Z., Yan, H.: A handwritten character recognition using self-organizing maps and fuzzy rules. Pattern Recognition 22, 923–937 (2000)
Kim, K., Bang, S.Y.: A handwritten character classification using tolerant Rough set. IEEE Trans. on PAMI 22, 923–937 (2000)
Wakabayashi, T., Tsuruoka, S., Kimura, F., Miyake, Y.: “Increasing the Feature size in handwritten Numeral Recognition to improve accuracy. System and Computers in Japan 26(8), 35–44 (1995)
Hanmandlu, M., Ramana Murthy, O.V.: Fuzzy Model Based Recognition of Handwritten Hindi Numerals. In: Intl.Conf. on Cognition and Recognition, pp. 490–496 (2005)
Ramteke, R.J., Borkar, P.D., Mehrotra, S.C.: Recognition of Marathi Handwritten Numerals: An Invariant Moments Approach. In: Intl.Conf. on Cognition and Recognition, pp. 482–489 (2005)
Bajaj, R., Dey, L., Chaudhury, S.: Devnagari numeral recognition by combining decision of multiple connectionist classifiers. Sadhana, Part. 1 27, 59–72 (2002)
Kumar, S., Singh, C.: A Study of Zernike Moments and its use in Devnagari Handwritten Character Recognition. In: Intl.Conf. on Cognition and Recognition, pp. 514–520 (2005)
Sethi, I.K., Chatterjee, B.: Machine Recognition of constrained Hand printed Devnagari. Pattern Recognition 9, 69–75 (1977)
Bhattacharya, U., Chaudhuri, B.B., Ghosh, R., Ghosh, M.: On Recognition of Handwritten Devnagari Numerals. In: Proc. of the Workshop on Learning Algorithms for Pattern Recognition (in conjunction with the 18th Australian Joint Conference on Artificial Intelligence), Sydney, pp. 1–7 (2005)
Roy, K., Pal, U., Kimura, F.: Recognition of Handwritten Bangla Characters. In: Proc. 2nd International Conference on Machine Intelligence (ICMI), pp. 480–485 (2005)
Bhattacharya, U., Chaudhuri, B.B.: Databases for research on recognition of handwritten characters of Indian scripts. In: Proc. 8th ICDAR, pp. 789–793 (2005)
Pal, U., Roy, K., Kimura, F.: A Lexicon Driven Method for Unconstrained Bangla Handwritten Word Recognition. In: 10th International Workshop on Frontiers in Handwriting Recognition ((accepted, 2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sharma, N., Pal, U., Kimura, F., Pal, S. (2006). Recognition of Off-Line Handwritten Devnagari Characters Using Quadratic Classifier. In: Kalra, P.K., Peleg, S. (eds) Computer Vision, Graphics and Image Processing. Lecture Notes in Computer Science, vol 4338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949619_72
Download citation
DOI: https://doi.org/10.1007/11949619_72
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68301-8
Online ISBN: 978-3-540-68302-5
eBook Packages: Computer ScienceComputer Science (R0)