The handwriting recognition is the scheme of converting text symbolized in the spatial form of graphical symbols into its figurative depiction. Handwritten characters have been the most accredited technique of collecting, storing and transmitting information all the way through the centuries. To give the proper ability to the machine it requires studying the image-form of data which forms a special pattern to be interpreted. Designing and building machines that can recognize patterns remains one of the thrust areas in the field of computer sciences. A lot of work has been done in this field, but still the problem is not answered in its full density. A good text recognizer has many commercial and practical applications, e. g. from finding data in digitized book to computerization of any organization, like post office, which involve manual task of interpreting text. In this paper, we have presented a hybrid approach for recognition of Gujarati handwritten numerals using neural networks as classifier and achieved a good recognition rate for noisy numerals.

1. L. Harmon. "Automatic recognition of print and script" Proc. IEE, 60:1165-1176, 1972.
2. Line Eikvil, "Optical Character Recognition", citeseer. ist. psu. edu/142042. html. Accessed on 01 July 2011
3. http//en. wikipedia. org Accessed 15 June 2007
4. Lawrance Lo. at http://www. ancientscripts. com/ Accessed 15 June 2007
5. http//ccat. sas. upenn. edu Accessed 15 June 2007
6. http//languages. iloveindia. com Accessed 15 June 2007
7. http//india. mapsofindia. com Accessed 15 June 2007
8. Patel C N and Desai A A (2009) Skew detection and text line extraction for handwritten Gujarati text , Prajna J Pure Appl Sci 17: 099-103
9. Yajnik A and Singh D (2010) Feature Extraction (Image Compression) of printed Gujarati and Amharic letters using Discrete Wavelet Transform, S-JPSET, 1(1):5-10.
10. S. Rama Mohan, Archit Yajnik (2005): "Gujarati Numeral Recognition Using Wavelets and Neural Network" Indian International Conference on Artificial Intelligence, pp. 397-406.
11. Archit Yajnik, S. Rama Mohan, "Identification of Gujarati characters using wavelets and neural networks" Artificial Intelligence and Soft Computing 2006, ACTA Press, pp. 150- 155.
12. S K Shah and A Sharma Design and Implementation of Optical Character Recognition System to Recognize Gujarati Script using Template Matching IE(I) Journal?ET Vol. 86 pgs. 44-49 2006
13. Antani S and Agnihotri L (1999) Gujarati Character Recognition. Proc. 5th ICDAR, pp. 418-422.
14. Dholakia J, Negi A, S Rama Mohan (2005) Zone Identification in the Printed Gujarati Text. Proc of 8th ICDAR p272-276.
15. Dholakia J, Yajnik A, Negi A (2007) Wavelet Feature Based Confusion Character Sets for Gujarati Script. ICCIMA pp366-371.
16. Kayasth M and Patel B (2009) Offline typed Gujarati Character recognition. NJSIT pp73-82
17. Chaudhari S and Gulati R M (2010) A font size independent OCR for machine printed Gujarati numerals. 3(1):70-78
18. Prasad, J. R. ; Kulkarni, U. V. ; Prasad, R. S. (2009) Template Matching Algorithm for Gujarati Character Recognition In Proc. Of 2nd International Conference on Emerging Trends in Engineering and Technology (ICETET), pp 263 - 268
19. Prasad, J. R. ; Kulkarni, U. V. ; Prasad, R. S. (2009) Offline Handwritten Character Recognition of Gujarati script using Pattern Matching In Proc. Of 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, pp 611 - 615
20. E. Hassan, S. Chaudhury, M. Gopal, and J. Dholakia, "Use of MKL as symbol classifier for Gujarati character recognition", in Proc. Document Analysis Systems, 2010, pp. 255-262.
21. Desai A A (2010) Gujarati handwritten numeral optical character reorganization through neural network. Pattern Recognition 43: 2582-2589.
22. Desai A. A. (2010) Handwritten Gujarati Numeral Optical Character Recognition using Hybrid Feature Extraction Technique. IPCV pp 733-739
23. http://www. learnartificialneuralnetworks. com/#Mathematical Accessed on July 2011

Gujarati Numerals Neural Networks Handwriting Recognition