Comparative Study of Algorithms to Recognise Handwritten Digits
Ms. Anushka Sharma, Mr. Prateek Dhawan, Ms. Swarnalatha P, ,
Affiliations 1*: Computer Science Department, VIT University, Vellore, Tamil Nadu, India; 2*: Computer Science: Bioinformatics Department, VIT University, Vellore, Tamil Nadu, India
The paper shows how different estimations can be applied to test the exactness of the neural associations. We separate the display of the Back spread estimation with changing getting ready plans and the ensuing power term in feed-forward neural associations. In a relationship, we analyze the essential backslide estimation, which makes a choice based on the value of an immediate blend of the features. In this paper, Neural Associations are used with an MNIST dataset of 70000 digits and 250 assorted creating styles. Logistic Regression is a measurable model that, in its fundamental structure, utilizes a strategic capacity to demonstrate a twofold reliant variable, albeit a lot more intricate expansions exist. In relapse examination, calculated relapse (or logit relapse) assesses the boundaries of a strategic model (a type of paired relapse). This equivalent examination shows the exactness of these computations in distinguishing physically composed digits, with Backpropagation unequivocally expecting close 95.06% of the test dataset when it was run multiple times, and the essential logistic regression correctly anticipating close 99% with a hidden layer and 92% without a hidden layer.
Ms. Anushka Sharma, Mr. Prateek Dhawan."Comparative Study of Algorithms to Recognise Handwritten Digits". International Journal of Computer Engineering In Research Trends (IJCERT) , ISSN:2349-7084, Vol.8, Issue 05 ,pp.95-101, May- 2021, URL :https://ijcert.org/ems/ijcert_papers/V8I503.pdf,
Keywords : Back propagation Network, MNIST data set, TensorFlow, Logistic Regression Algorithm, Matlab, Accuracy, Confusion Matrix.
 S. Mori, C.Y. Suen and K. Kamamoto, â€œHistorical review of OCR research and development,â€ Proc. of IEEE, vol. 80, pp. 1029-1058, July 1992.
 S. Impedovo, L. Ottaviano and S. Occhinegro, â€œOptical character recognitionâ€, International Journal Pattern Recognition and Artificial Intelligence, Vol. 5(1-2), pp. 1-24, 1991.
 V.K. Govindan and A.P. Shivaprasad, â€œCharacter Recognition â€“ A review,â€ Pattern Recognition, vol. 23, no. 7, pp. 671- 683, 1990 International Journal of Computer Science & Information Technology (IJCSIT), Vol 3, No 1, Feb 2011 37
 R. Plamondon and S. N. Srihari, â€œOn-line and off- line handwritten character recognition: A comprehensive survey,â€IEEE. Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 1, pp. 63-84, 2000.
 N. Arica and F. Yarman-Vural, â€œAn Overview of Character Recognition Focused onOff-line Handwritingâ€, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2001, 31(2), pp. 216 - 233.
 U. Bhattacharya, and B. B. Chaudhuri, â€œHandwritten numeral databases of Indian scripts and multistage recognition of mixed numerals,â€ IEEE Transaction on Pattern analysis and machine intelligence, vol.31, No.3, pp.444-457, 2009.
 U. Pal, T. Wakabayashi and F. Kimura, â€œHandwritten numeral recognition of six popular scripts,â€ Ninth International conference on Document Analysis and Recognition ICDAR 07, Vol.2, pp.749-753, 2007.
 R.G. Casey and E.Lecollinet, â€œA Survey of Methods and Strategies in Character Segmentation,â€ IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 18, No.7, July 1996, pp. 690-706.
 Anil.K.Jain and Torfinn Taxt, â€œFeature extraction methods for character recognition-A Survey,â€ Pattern Recognition, vol. 29, no. 4, pp. 641-662, 1996
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