U. Bhattacharya and B. B. Chaudhuri, Databases for research on recognition of handwritten characters of Indian scripts, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), pp.789-793, 2005.
DOI : 10.1109/ICDAR.2005.84

U. Bhattacharya, B. B. Chaudhuri, R. Ghosh, and M. Ghosh, On Recognition of Handwritten Devanagari Numerals, Proc. of the Workshop on Learning Algorithms for Pattern Recognition held in conjunction with the 18 th AI

I. K. Sethi and B. Chatterjee, Machine recognition of constrained hand printed devanagari, Pattern Recognition, vol.9, issue.2, pp.69-75, 1977.
DOI : 10.1016/0031-3203(77)90017-6

K. R. Ramakrishnan, S. H. Srinivasan, and S. Bhagavathy, The independent components of characters are 'Strokes, Proc. of the 5 th ICDAR, pp.414-417, 1999.

R. Bajaj, L. Dey, and S. Chaudhuri, Devnagari numeral recognition by combining decision of multiple connectionist classifiers, Sadhana, vol.26, issue.1, pp.59-72, 2002.
DOI : 10.1007/BF02703312

G. S. Lehal and N. Bhatt, A recognition system for Devnagri and English handwritten numerals Advances in Multimodal Interfaces? ICMI, LNCS, vol.1948, pp.442-449, 2000.

B. Chaudhuri, A hybrid scheme for handprinted numeral recognition based on a self-organizing network and MLP classifiers, IJPRAI, vol.16, issue.7, pp.845-864, 2002.

M. B. Sukhaswami, P. Seetharamulu, and A. K. Pujari, RECOGNITION OF TELUGU CHARACTERS USING NEURAL NETWORKS, International Journal of Neural Systems, vol.06, issue.03, pp.317-357, 1995.
DOI : 10.1142/S0129065795000238

H. Ma and D. S. Doermann, Adaptive Hindi OCR using generalized Hausdorff image comparison, ACM Transactions on Asian Language Information Processing, vol.2, issue.3
DOI : 10.1145/979872.979875

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

H. Park and S. Lee, Off-line recognition of large-set handwritten characters with multiple hidden Markov models, Pattern Recognition, vol.29, issue.2, pp.231-244, 1996.
DOI : 10.1016/0031-3203(95)00081-X

L. Lam, Y. S. Huang, and C. Y. Suen, Combination of Multiple Classifier Decisions for Optical Character Recognition " , in Handbook of Character Recognition and Document Image Analysis, pp.79-101, 1997.

S. Parui and D. Majumder, Shape similarity measures for open curves, Pattern Recognition Letters, vol.1, issue.3, pp.129-134, 1983.
DOI : 10.1016/0167-8655(83)90051-X

L. R. Rabiner, A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition, Proc. Of the IEEE, pp.257-285, 1989.

K. Fukunaga, Introduction to Statistical Pattern Recognition, 1990.

Y. Hirose, K. Yamashita, and S. Hijiya, Backpropagation algorithm which varies the number of hidden units, International Joint Conference on Neural Networks, pp.61-66, 1991.
DOI : 10.1109/IJCNN.1989.118518

M. H. Hassoun, Fundamentals of Artificial Neural Networks, p.226, 1995.

L. Xu, A. Krzyzak, and C. Y. Suen, Methods of combining multiple classifiers and their application to handwritten numeral recognition, IEEE Trans. On SMC, vol.22, pp.418-435, 1992.

U. Bhattacharya and B. B. Chaudhuri, A majority voting scheme for multiresolution recognition of handprinted numerals, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., pp.16-20, 2003.
DOI : 10.1109/ICDAR.2003.1227620