Open Access Open Access  Restricted Access Subscription or Fee Access

Fourier Descriptor & Ring data Feature based Isolated Marathi Handwritten Numerals Recognition

Manisha S. Patil, Sini Shibu, Dr. Bhupendra Verma


In the recent years more research towards Indian handwritten character recognition system. Some problems are faced on the classification and recognition. India is the multilingual country, Marathi which is used in Maharashtra state. It is herein proposed the isolated handwritten Marathi numerals recognition system which uses multiple feature extraction methods. Ring data feature extraction method which not till used as per my knowledge for Marathi handwritten numerals recognition. Ring data features are specially, rotation invariant features are those features, which remain constant for rotated and unrotated images. Fourier Descriptor describes the shape in terms of its spacial frequency content. Regular geometrical moments are used for image transformation. The classifier, namely, Minimum distance classifier is used for classification and recognition purpose. This classifier is trained with 16 and 30 dimensional Fourier Descriptors (FD) and Ring data of training samples this recognition system is experimented with a 500 database samples.


Fourier Descriptors, Marathi Handwritten Numerals, Minimum Distance Classifier, Regular Geometrical Moments, Ring Data Features

Full Text:



Oivind Due Trier, Anil K Jain, Torfinn Taxt, Feature Extraction Methods For Character Recognition - A Survey, Pattern Recognition, vol.29 (1996), 641-662.

Anilkumar N. Holambe ,Dr. Ravinder C. Thool,”Comparative Study of Devnagari Handwritten and printed character and numerals recognition using nearest –neighbor classifiers, IEEE (2010), 4244-5540

Yanhua Ma and Chuanjun Liu, “A Recognition Algorithm for Chinese Character Based on minimum Distance Classifier”, 2009 Second International workshop on computer science and engineering IEEE (2009), 7692-3881.

G. G. Rajput and S. M. Mali, “Fourier Descriptor based isolated Marathi Handwritten Numeral Recognition” IJCA, June 2010, 0975-8887.

R. J. Ramteke and S. C. Mehrotra “Feature Extraction Based on Moment Invariants for Handwriting Recognition”, IEEE (2006), 4244-0023.

P.S. Dhabe, S.R. Bakki, U. V. Kulkarni and T. R. Sontakke” Rotation Invariant Features: A Method, Problems and possible Solutions” IEEE (2002),7803-7278.

Hung -Pin Chiu and Din-Chang Tseng, “Invariant handwritten Chinese character recognition using fuzzy min- max neural networks”, pattern recognition letters Vol.18, pp.481-491, 1997.

J Cai, Z.Liu ,Integration of structural and statistical information for Unconstrained Handwritten Numeral Recognition. Proceedings of the Fourteen International conference on pattern Recognition, Vol. 1 (1998), .378-380.

Bhanshree N. P. and R. Vasanta, OCR for Script Identification of Hindi (Devnagari) Numerals using Feature Sub Selection by Means of End-Point with Neuro- Memetic Model, International Journal of Intelligent Systems and Technologies 2;3(2008), 206-210.

N. Sharma, U. Pal , F. Kimura and S. Pal, Recognition of Off-Line Handwritten Devnagari Characters using Quadratic Classifier, Springer LNCS, Volume 4338(2006) 805-816.

U. Pal, T. Wakabayashi and F. Kimura, '' A system for off- line Oriya handwritten character recognition using curvature feature '', 10th International Conference on Information Technology, IEEE (2007)227-229.

U. Bhattacharya, B.B. Chaudhari, R.Ghosh, and M.Ghosh, “On recognition of Handwritten Devnagari Numerals”, in proc. Of the workshop on Learning algorithms for pattern recognition (in conjunction with the 18th Australian joint Conference on Artificial Intelligence), Sydney (2005) 1-7.

J. Cai, Z.Liu ,Integration of structural and statistical information for Unconstrained Handwritten numeral Recognition. Proceedings of the Fourteen International conference on Pattern Recognition, Vol. 1 (1998),378-380.

A. Majumdar and B.B. Chaudhuri, ''Printed and handwritten Bangla numeral recognition using multiple classifier outputs'', Proceedings of the first IEEE IC SIP06, Vol. 1 (2006) 190-195.

Dinesh Achaya U, N V Subba Reddy and Krishnamoorthi, “Hierarchical Recognition System for Machine printed Kannada Characters”, IJCSNS International Journal of Computer Science and Network Security, Vol.8 No.11(November 2008) 44-53.

M. Hanmandlu and O. V. R. Murthy, “Fuzzy Model Based Recognition of Handwritten Hindi Numerals”, In Proc. Intl. conf. on Cognition and Recognition, (2005) 490-496.

S.J. Parantonis and P.J.G. Lisboa, “Translation, rotation and scale invariant pattern recognition by high-order neural network and moment classifiers”, IEEE Trans. Neural networks, vol.3, No.2, pp.241-251, 1992.

Rafael C. Gonzalez and Richard E. Woods, “Digital Image Processing”,Addison-Wesley publishing company.



  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.