]. S. Basu, C. Chaudhuri, M. Kundu, M. Nasipuri, and D. K. Basu, A Two-Pass Approach to Pattern Classification, Proc. of 11 th ICONIP, pp.781-786, 2004.
DOI : 10.1007/978-3-540-30499-9_120

U. Bhattacharya, T. K. Das, A. Dutta, S. K. Parui, and B. B. Chaudhuri, A HYBRID SCHEME FOR HANDPRINTED NUMERAL RECOGNITION BASED ON A SELF-ORGANIZING NETWORK AND MLP ClASSIFIERS, International Journal of Pattern Recognition and Artificial Intelligence, vol.16, issue.07, pp.845-864, 2002.
DOI : 10.1142/S0218001402002027

J. Cai and Z. Q. Liu, Integration of structural and statistical information for unconstrained handwritten numeral recognition, IEEE Trans. on PAMI, vol.21, pp.263-270, 1999.

B. B. Chaudhuri and U. Pal, A complete printed Bangla OCR system, Pattern Recognition, vol.31, issue.5, pp.531-549, 1998.
DOI : 10.1016/S0031-3203(97)00078-2

C. Choisy and A. Belaïd, Handwriting recognition using local methods for normalization and global methods for recognition, Proceedings of Sixth International Conference on Document Analysis and Recognition, pp.23-27, 2001.
DOI : 10.1109/ICDAR.2001.953748

C. Choisy and A. Belaïd, Cross-learning in analytic word recognition without segmentation, International Journal on Document Analysis and Recognition, vol.4, issue.4, pp.281-289, 2002.
DOI : 10.1007/s100320200078

URL : https://hal.archives-ouvertes.fr/inria-00100851

A. K. Dutta and S. Chaudhuri, Bengali alpha-numeric character recognition using curvature features, Pattern Recognition, vol.26, issue.12, pp.1757-1770, 1993.
DOI : 10.1016/0031-3203(93)90174-U

A. El-yacoubi, M. Gilloux, R. Sabourin, and C. Y. Suen, An HMM-based approach for off-line unconstrained handwritten word modeling and recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.8, pp.752-760, 1999.
DOI : 10.1109/34.784288

S. Gunter and H. Bunke, Optimizing the number of states, training iterations and Gaussians in an HMM-based handwritten word recognizer, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., pp.472-476, 2003.
DOI : 10.1109/ICDAR.2003.1227710

F. C. Jeng and J. W. Woods, On the relationship of the Markov mesh to the NSHP Markov chain, Pattern Recognition Letters, vol.5, issue.4, pp.273-279, 1987.
DOI : 10.1016/0167-8655(87)90057-2

C. L. Liu, K. Nakashima, H. Sako, and . Fujisawa, Handwritten digit recognition: investigation of normalization and feature extraction techniques, Pattern Recognition, vol.37, issue.2, pp.265-278, 2004.
DOI : 10.1016/S0031-3203(03)00224-3

U. Pal and B. B. Chaudhuri, Automatic recognition of unconstrained off-line Bangla hand-written numerals, Proc. of LNCS-1948, pp.371-378, 2000.

U. Pal and B. B. Chaudhuri, Indian script character recognition: a survey, Pattern Recognition, vol.37, issue.9, pp.1887-1899, 2004.
DOI : 10.1016/j.patcog.2004.02.003

U. Pal and S. Datta, Segmentation of Bangla unconstrained handwritten text, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., pp.1128-1132, 2003.
DOI : 10.1109/ICDAR.2003.1227832

U. Pal and P. P. Roy, Multioriented and Curved Text Lines Extraction From Indian Documents, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.34, issue.4, pp.1676-1784, 2004.
DOI : 10.1109/TSMCB.2004.827613

P. Palumbo, P. Swaminathan, and S. Palumbo, <title>Document Image Binarization: Evaluation Of Algorithms</title>, Applications of Digital Image Processing IX, pp.278-285, 1986.
DOI : 10.1117/12.976229

R. Plamondon and S. N. Srihari, On-line and off-line handwritten recognition: A comprehensive survey, IEEE Trans. on PAMI, vol.22, pp.62-84, 2000.

L. R. Rabiner, A tutorial on Hidden Markov Models and selected applications in speech recognition, Proc. of IEEE, pp.257-286, 1989.

K. Roy, C. Chaudhuri, P. Rakshit, M. Kundu, M. Nasipuri et al., A comparative assessment of performances of the RBF Network and the MLP for handwritten digit recognition, Proc. of CODIS, pp.540-543, 2004.

K. Roy, U. Pal, and B. B. Chaudhuri, A system for joining and recognition of broken Bangla numerals for Indian postal automation, Proc. of 4 th Indian Conference on Computer Vision, Graphics and Image Processing, pp.641-646, 2004.

K. Roy, S. Vajda, U. Pal, and B. B. Chaudhuri, A System towards Indian Postal Automation, Ninth International Workshop on Frontiers in Handwriting Recognition, pp.580-585, 2004.
DOI : 10.1109/IWFHR.2004.12

URL : https://hal.archives-ouvertes.fr/inria-00100277

G. Saon and A. Belaïd, High Performance Unconstrained Word Recognition System Combining HMMs and Markov Random Fields, International Journal of Pattern Recognition and Artificial Intelligence, vol.11, issue.05, pp.771-788, 1997.
DOI : 10.1142/S0218001497000342

Z. Shi and V. Govindaraju, Skew detection for complex document images using Fuzzy runlength, Proc. of 7 th ICDAR, pp.715-719, 2003.

F. M. Wahl, K. Y. Wong, and R. G. Casey, Block segmentation and text extraction in mixed text/image documents, Computer Graphics and Image Processing, vol.20, issue.4, pp.375-390, 1982.
DOI : 10.1016/0146-664X(82)90059-4

T. Wakabayashi, S. Tsuruoka, F. Kimura, and Y. Miyake, Increasing the feature size in handwritten numeral recognition to improve accuracy, Systems and Computers in Japan, vol.24, issue.10, pp.35-43, 1995.
DOI : 10.1002/scj.4690260804

Y. Wen, Y. Lu, and P. Shi, Handwritten Bangla numeral recognition system and its application to postal automation, Pattern Recognition, vol.40, issue.1, pp.99-107, 2007.
DOI : 10.1016/j.patcog.2006.07.001

P. Wunsch and A. F. Laine, Wavelet descriptors for multiresolution recognition of handprinted characters, Pattern Recognition, vol.28, issue.8, pp.1237-1249, 1995.
DOI : 10.1016/0031-3203(95)00001-G

D. Yu and W. Lai, ANALYSIS AND RECOGNITION OF BROKEN HANDWRITTEN DIGITS BASED ON MORPHOLOGICAL STRUCTURE AND SKELETON, International Journal of Pattern Recognition and Artificial Intelligence, vol.19, issue.03, pp.271-296, 2005.
DOI : 10.1142/S0218001405004095

L. Zhou, Y. Lu, and C. L. Tan, Bangla/English Script Identification Based on Analysis of Connected Component Profiles, Proc. of LNCS-3872, pp.243-254, 2006.
DOI : 10.1007/11669487_22