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Research Article

Handwritten Digit Recognition using ML

Khadke Prajakta Santosh1 Abadane Rutuja Mahavir2 Mankar Sarita Sanjay3 Mhetar Krantikumar R4
1234Department of Information Technology, Sharad Institute of Technology Polytechnic, Yadrav, Kolhapur, Maharashtra, India.

Published Online: May-June 2022

Pages: 78-82

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References

1. P. Simard, Y. Le Cun and J. Denker, "Efficient Pattern Recognition Using a New Transformation Distance.", Advances in Neural Information Processing Systems 5, pp. 50-58, 1993.
2. Y. Lee, "Handwritten Digit Recognition Using k- Nearest-Neighbor Radial-Basis Function and Backpropogation Neural Networks", Neural Computation, vol. 3, pp. 440-449, 1991.
3. J. Bromley and J. Denker, "Improving Rejection Performance on Handwritten Digits by Training With Rubbish", Neural Computation, vol.5, no. 3, pp. 367-370, 1993.
4. G.E. Hinton, C.K.I. Williams and M.D. Revow, "Adaptive Elastic Models for Hand-Printed Character Recognition", Advances
in Neural Information Processing Systems 4, 1992.
5. J.R. Ullmann, "Correspondence in Character Recognition", Machine Perception of Patterns and Pictures., 1972.
6. B. Widrow, "The 'Rubber-Mask' Technique-I. Pattern Measurement and Analysis", Pattern Recognition, vol. 5, pp. 175- 197, 1973.

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