ABSTRACT
This paper discusses the Hindi offline handwritten word recognizer (HWR) that we are developing. For the purpose of training and testing the offline HWR, we have created a Hindi handwritten word and character database from 100 writers. In our HWR we use two-pass Dynamic Programming algorithm to match the test word against each word in the lexicon by initially segmenting the test word image into probable characters. We extract directional element features (DEF) on each character image segment and statistically model them. Currently we are achieving word recognition accuracies of 91.23% to 79.94% on 10 to 30 vocabulary words.
- G. Kim, V. Govindaraju, "A Lexicon Driven Approach to Handwritten Word Recognition for Real- Time Applications,", IEEE PAMI, VOL. 19, NO. 4, APRIL 1997. Google ScholarDigital Library
- Govindaraju, V.; Setlur, S.; "Guide to OCR for Indic Scripts", Springer, 2009Google Scholar
- Hanmandlu, M.; Raman Murthy, O. V.; Madasu, V. K.; "Fuzzy Model based recognition of handwritten Hindi characters", Digital Image Computing Techniques and Applications, 2007 Google ScholarDigital Library
- Arora, S.; Bhattacharjee, D.; Nasipuri, M.; Basu, D. K.; Kundu, M.; "Complementary Features Combined in a MLP-based System to Recognize Handwritten Devnagari Character", Journal of Information Hiding and Multimedia Signal Processing, Vol 2, No 1, Jan 2011.Google Scholar
- Jayadevan, R.; Kolhe, S. R.; Patil, P. M.; Pal, U.; "Offline Recognition of Devanagari Script: A survey", IEEE transactions on systems, man, and cybernatics - Part C: Applications and reviews, VOL. 41, No. 6, November 2011 Google ScholarDigital Library
- Kimura, F.; Wakabayashi, T.; Pal, U.; "Comparitive Study of Devnagari Handwritten Character Recognition using Different Feature and Classifiers", 10th International Conference on Document Analysis and Recognition, 2009 Google ScholarDigital Library
- Sharma, N.; Pal, U.; Kimura, F.; Pal, S.; "Recognition of Offline Handwritten Devnagari Characters using Quadratic Classifier", Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP), LNCS, Springer Verlag, 2006, pp- 805--816. Google ScholarDigital Library
- Shaw, B.; Parui, S. K.; Shridhar, M.; "Offline Handwritten Devanagari Word Recognition: A segmentation Based Approach", Proc. IEEE Int. Conf. Inf. Technol. Pp-256--257, 2008 Google ScholarDigital Library
- Shaw, B.; Parui, S. K.; Shridhar M.; "Offline Handwritten Devanagari Word Recognition: A holistic approach based on directional chain code feature and HMM", International Conference on Information Technology, 2008, Pp-203--208. Google ScholarDigital Library
- Singh, B.; Mittal, A.; Ansari, M. A.; Ghosh, D.; "Handwritten Word Recognition: A Curvelet Transform Based Approach", International Journal on Computer Science and Engineering, Vol 3, No. 4, April 2011Google Scholar
- Nei kato, et. al, "A Handwritten Character Recognition System Using Directional Element Feature and Asymmetric Mahalanobis Distance", IEEE PAMI, 1999 Google ScholarDigital Library
- F. Kimura, K. Takashina, S. Tsuruoka, Y. Miyake, "Modified quadratic discriminant functions and the application of Chinese character recognition,", IEEE Trans. Pattern Anal. Mach. Intellig. Vol. PAMI-9, no. 1, pp. 149--152. 1987 Google ScholarDigital Library
- L. R. Rabiner and B. Juang, "Fundamentals of Speech Recognition,", Englewood Cliffs, N.J.: Prentice Hall, 1993. Google ScholarDigital Library
Index Terms
- Offline handwritten word recognition in Hindi
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