A Multistage Classification and Kernel-Based Recognition Scheme for Handwritten Marathi Compound Characters
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U. Pal and B. B. Chaudhari, “Indian Script Character Recognition: a Survey”, Pattern Recognit., vol. 37, pp. 1887-1899, 2004.
K. Roy, S. Vaidya, U. Pal, B. B. Chaudhuri, A. Belaid, “A System for Indian Postal Automation”, Proc. 8th Int. Conf. Document Anal. Recognit., Seoul, Korea, Aug. 31-Sep. 1, 2005, pp.1060-1064.
U. Pal, R. K. Roy, K. Roy, F. Kimura, “Indian Multi Script Full Pin-code String Recognition for Postal Automation”, Proc. 10th Int. Conf. Document Anal. Recognit., Barcelona, Spain, Jul. 26-29, 2009, pp. 456-460.
B. B. Chaudhari, Digital Document Processing - Major Directions and Recent Advances, London: Springer, 2007.
A. F. R. Rahman, R. Rahman, M. Fairhurst, “Recognition of Handwritten Bengali Characters: A Novel Approach”, Pattern Recognit., vol. 35, pp. 997-1006, 2002.
A. Pujari, C. Dhanunjaya Naidu, M. Sreenivasa Rao, B. C. Jinaga, “An Intelligent Character Recognizer for Telugu scripts using Multiresolution Analysis and Associative Memory”, Image and Vision Comput., vol. 22, pp. 1221-1227, 2004.
K. Roy, T. Pal, U. Pal, F. Kimura, “Oriya Handwritten Numeral Recognition System”, Proc. 8th Int. Conf. Document Anal. Recognit., Seoul, Korea, Aug. 31-Sep. 1, 2005, pp. 770 – 774.
U. Bhattacharya, S. K. Ghosh, S. K. Parui, “A Two Stage Recognition Scheme for Handwritten Tamil Characters”, Proc. 9th Int. Conf. Document Anal. Recognit., Parana, Sept. 23-26, 2007 pp. 511 – 515.
R. Jayadevan, S. R. Kolhe, P. M. Patil, U. Pal, “Offline Recognition of Devanagari Script: A Survey (Accepted for publication)”, IEEE Trans. Syst. Man Cybern, C: Appl. Rev., vol.41, no. 4, 2011, to be published.
V. Bansal, “Integrating Knowledge Sources in Devanagari Text Recognition”, Ph.D. Thesis, Dept. Comp. Sci. and Eng., IIT, Kanpur, India, 1999.
V. Bansal, R.M.K. Sinha, “Partitioning and Searching Dictionary for Correction of Optically Read Devanagari Character Strings”, Proc. 5th Int. Conf. Document Anal. Recognit., Bangalore, India, Sept. 20-22, 1999, pp. 53-656.
V. Bansal, R. M. K. Sinha, “On How to Describe Shapes of Devanagari Characters and Use them for Recognition”, Proc. 5th Int. Conf. Document Anal. Recognit., Bangalore, India, Sept. 20-22, 1999, pp. 410-413.
R. Bajaj, L. Dey, S. Chaudhary, “Devanagari Numeral Recognition by Combining Decision of Multiple Connectionist Classifiers”, Sadhana, 27, pp. 59-72, 2002.
P. M. Patil, T. R. Sontakke, “Rotation, Scale and Translation Invariant Handwritten Devanagari Numeral Character Recognition using General Fuzzy Neural Network”, Pattern Recognit., vol. 40, pp. 2110-2117, 2007.
U. Pal, N. Sharma, T. Wakabayashi, F. Kimura, “Off-line Handwritten Character Recognition of Devanagari Script”, Proc. 9th Int. Conf. Document Anal. Recognit., Parana, Sept. 23-26, 2007, pp. 496-500.
U. Pal, S. Chanda, T. Wakabayashi, F. Kimura, “Accuracy Improvement of Devanagari Character Recognition Combining SVM and MQDF”, Proc. 11th Int. Conf. Frontiers in Handwriting Recognit., Québec, Canada, Aug. 19-21, 2008, pp. 367-372.
U. Pal, T. Wakabayashi, F. Kimura, “Comparative Study of Devanagari Handwritten Character Recognition using Different Feature and Classifiers”, Proc. 10th Int. Conf. Document Anal. Recognit., Barcelona, Spain, Jul. 26-29, 2009, pp. 1111-1115.
S. Shelke, S. Apte, “A Novel Multi-feature Multi-Classifier Scheme for nconstrained Handwritten Devanagari Character Recognition”, Proc. 12th Int. Conf. Frontiers in Handwriting Recognit., Kolkata, India, Nov. 16-18, 2010, pp. 215-219.
U. Pal, T. Wakabayashi, F. Kimura, “Handwritten Bangla Compound Character Recognition using Gradient Feature”, Proc. 10th Int. Conf. Information Technology, Orissa, India, Dec. 17-20, 2007, pp. 208-213.
Utpal Garain, B. B. Chaudhuri, “Segmentation of Touching Characters in Printed Devanagari and Bangla Scripts using Fuzzy Multifactorial Analysis”, IEEE Trans. Syst. Man Cybern, C: Appl. Rev., vol. 32, no. 4, pp. 449-459, 2002.
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