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  Published Paper Details:

  Paper Title

HANDWRITTEN DIGIT RECOGNITION USING SVM ALGORITHM IN MACHINE LEARNING

  Authors

  R. Sai Pavan Reddy,  B. Prudhvi Kumar Reddy,  P. Venkatesh,  P.S. Vaseem Akram

  Keywords

Support Vector Machine, Handwritten Digit Recognition, Image Acquisition, Pre-Processing, Gray Image Conversion, Feature Extraction

  Abstract


Neural Networks based algorithms have intimated steadfast potential on various visual tasks including the recognition of Digits. This paper presents Support Vector Machine (SVM) based Real Time Hand-Written Digit Recognition System. The system involves two main sections i.e. training and recognition section. SVM classifier is used as the training algorithm and then tested it on MNIST dataset. We achieved a training accuracy of 98.05% and a test accuracy of 97.83% demonstrating that the proposed method can achieve significant and promising performance in digit recognition. Then we implemented our model to recognize user given handwritten digits in real time.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT22A6520

  Paper ID - 222081

  Page Number(s) - e293-e297

  Pubished in - Volume 10 | Issue 6 | June 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  R. Sai Pavan Reddy,  B. Prudhvi Kumar Reddy,  P. Venkatesh,  P.S. Vaseem Akram,   "HANDWRITTEN DIGIT RECOGNITION USING SVM ALGORITHM IN MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 6, pp.e293-e297, June 2022, Available at :http://www.ijcrt.org/papers/IJCRT22A6520.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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