NEAREST NEIGHBOR ALGORITHM IN HANDWRITTEN CHARACTER
2
Author(s):
P.R.DESHMUKH , M.B.LIMKAR
Vol - 5, Issue- 6 ,
Page(s) : 61 - 69
(2014 )
DOI : https://doi.org/10.32804/IRJMST
Abstract
The proposed system extracts the geometric features of the character Contour. The system gives a feature vector as its output. The feature vectors so generated from a training set is then used to train a pattern recognition engine based on Neural Networks so that the system can be benchmarked. There was an attempt made to develop a system that used the methods that humans use to perceive handwritten characters. Hence a system that recognizes handwritten characters using Pattern recognition was developed. Here the data generated by comparing two images was stored in excel format and then that data was called as an individual input for generation of Simulink diagram.
- H. Al-Yousefi and S. S. Udpa 1988. Recognition of handwritten Arabic characters. In Proc. SPIE 32nd Ann. Int. Tech. Symp. Opt. Opto electric Applied Sci. Eng. (San Diego, CA)
- Homayoon S.M. Beigi. 1993. An Overview of Handwriting Recognition. Proceedings of the 1st Annual Conference on Technological Advancements in Developing Countries, Columbia University, New York, 30-46.
- Nadal, C. Legault, R. Suen and C.Y. 1990.Complementary Algorithms for Recognition of totally Unconstrained Handwritten Numerals. In Proc. 10th Int. Conf. Pattern Recognition, vol. 1, 434-449.
- S. Impedovo, P. Wang , and H. Bunke 1997 . Automatic Bankcheck Processing . World Scientific, Singapore,
- CL Liu, K Nakashima, H Sako and H. Fujisawa. 2003. Benchmarking of state-of- the-art techniques. Pattern Recognition, vol. 36, no 10, 2271– 2285.
- IJ . Tsang, IR. Tsang and DV Dyck 1998. Handwritten character recognition based on moment features derived from image partition. In Int. Conf. image processing, vol. 2, 939–942.
- Gonzalez, R. C., woods, R. E. and Eddins, S. L., “Digital Image Processing using MATLAB”, Pearson Education, Dorling Kindersley, South Asia, (2002).
- Casey, R. G. and Lecolinet, E., “A Survey of Methods and Strategies in Character Segmentation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 18, No. 7, (1996), 690-706.
- Jain, A. K. and Taxt, T., “Feature extraction methods for character recognition-A Survey”, Pattern Recognition, Vol. 29, No. 4, (1996), 641-662.
- Ramteke, R. J. and Mehrotra, S. C., “Recognition of Handwritten Devnagari Numerals”, International Journal of Computer Processing of Oriental Languages, Vol. 1, No. 2, (2008), 1-9.
- Bhatia, N. and Vandana, “Survey of Nearest Neighbour Techniques,” International Journal of Computer Science and Information Security, Vol. 8, No. 2, (2001), 302-305.
|