i-manager Publications

Recognition of Offline Handwritten Gujarati Numerals

0*, Manish M. Kayasth**

* Assistant Professor and I/c Principal, Smt. Tanuben & Dr. Manubhai Trivedi College of information Science, Surat, India.

** Assistant Professor and HOD, UCCC & SPBCBA & SDHG College of BCA and IT, Surat, India.

Periodicity:December - February'2017
DOI : https://doi.org/10.26634/jit.6.1.13504

Abstract

In Optical Character Recognition, written characters are recognized by computer based system. Such characters might be computer generated or handwritten. In case writing process is over, it is considered as offline writing. This paper proposes offline handwritten Gujarati numerals (0-9) recognition. Offline handwritten character recognition is an important area of pattern recognition. The entire character recognition task is logically divided into Image acquisition, preprocessing, feature extraction, classification, and recognition steps. To recognize Gujarati numeral features, such as hole, straight-line, number of open/end edge and open edge present in different zone(s), etc., are extracted. As per the result of different extracted features for particular Gujarati numeral, classification is carried out. Methodology, Implementation of it, and the results obtained are presented in the paper.

Keywords

Handwritten Gujarati Numerals, Handwritten Character Recognition

How to Cite this Article?

Bharat C. Patel and Manish M. Kayasth (2017). Recognition of Offline Handwritten Gujarati Numerals. i-manager’s Journal on Information Technology, 6(1), 14-18. https://doi.org/10.26634/jit.6.1.13504

References

[1]. Bhattacharya, U., and Chaudhuri, B.B., (2009). “Handwritten numeral databases of Indian script and multistage recognition of mixed numerals”. IEEE Trans. Pattern and Mach. Intell., Vol. 31, No. 3, pp. 444–457.

[2]. Chhaya C. Gohel, Mukesh M. Goswami, and Vishal K. Prajapati, (2015). “On-line handwritten Gujarati character Recognition using low level stroke”. Third International Conference on Image Infonnation Processing, pp. 130- 134.

[3]. Chhaya Patel, and Apurva Desai, (2013). “Gujarati Handwritten Character Recognition using Hybrid Method based on Binary Tree-Classifier and K-Nearest Neighbour”. International Journal of Engineering Research & Technology, Vol. 2, No. 6,pp. 2337-2345.

[4]. Desai A.A., (2010). “Gujarati handwritten numeral optical character reorganization through neural network”. Pattern Recognition, Vol. 43, pp. 2582-2589.

[5]. Gonzales, R.C., Woods, R.E., and Eddins, S.L. (2002). nd Digital Image Processing, 2 Ed. Prentice Hall. New Jersey, Chicago.

[6]. Hull, J.J. (1994). “A database for handwritten text recognition research”. IEEE Trans. Pattern and Machine Intell., Vol. 16, No. 5, pp.550–554.

[7]. LeCun, Y., Bottou, L., Bengio, Y., and Haffner, P., (1998). “Gradient based learning algorithm applied to document recognition”. Proc. IEEE, Vol. 86, No. 11, pp.2278–2324.

[8]. Maamar, K., Leila, C. and Salim, C., (2013). “A new large Arabic database for offline handwriting recognition”. Int. J. Applied Pattern Recognition, Vol. 1, No. 1, pp.81–98.

[9]. Madhuree Ardeshana, Ankit K. Sharma, Dipak M. Adhyaru, and Tanish H. Zaveri, (2016). “Handwritten Gujarati Character Recognition based on Discrete Cosine Transform”. Proceedings of IRF-ieee forum International Conference, pp 23-26.

[10]. Maloo M., Kale, K.V., (2011). “Support Vector Machine based Gujarati Numeral”. International Journal on Computer Science and Engineering (IJCSE), Vol. 3, No. 7, pp. 2595–2600.

[11]. Mukesh M. Goswami and Suman K. Mitra, (2015). “Offline handwritten Gujarati numeral recognition using low-level strokes”. International Journal of Applied Pattern Recognition, Vol. 2, No. 4, pp. 353-379.

[12]. Saito, T., Yamada, H., and Yamamoto, K., (1985). “On the database ELT9 of hand printed characters in JIS Chinese character and its analysis”. Trans. IEICE, in Japanese, Vol. 68, No. 4, pp.757–764.

If you have access to this article please login to view the article or kindly login to purchase the article

Single Article

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Online	15	15

ADD TO CART

Options for accessing this content:

If you would like institutional access to this content, please recommend the title to your librarian.
If you already have i-manager's user account: Login above and proceed to purchase the article.
New Users: Please register, then proceed to purchase the article.