Scalable Handwritten Digit Recognition Application using Neural Network and Convolutional Neural Network On Heterogeneous Architecture

@inproceedings{Kataraki2019ScalableHD,
  title={Scalable Handwritten Digit Recognition Application using Neural Network and Convolutional Neural Network On Heterogeneous Architecture},
  author={Kirankumar Kataraki and Sumana Maradithaya},
  year={2019}
}
Recognition of handwritten digit is one of the popular problem associated with computer vision applications. The goal of our research work is to develop scalable Neural Network(NN) and Convolutional Neural Network (CNN) model that would be able to recognize and determine the handwritten digits from its image. Capability of developing the new algorithms and improve the existing algorithms is determined by the accuracy and speed factor for training and testing the models. In this context… CONTINUE READING

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References

SHOWING 1-10 OF 16 REFERENCES
A minimal convolutional neural network for handwritten digit recognition
  • Matthew Y. W. Teow
  • Computer Science
  • 2017 7th IEEE International Conference on System Engineering and Technology (ICSET)
  • 2017
  • 8
Handwritten Digit Recognition Using Image Processing and Neural Networks
  • 14
  • PDF
Classification Algorithms for Determining Handwritten Digit
  • 10
  • PDF
Better Digit Recognition with a Committee of Simple Neural Nets
  • 70
  • PDF
HANDWRITTEN DIGIT RECOGNITION FOR MANAGING EXAMINATION SCORE IN PAPER-BASED TEST
  • A. Suratanee, NANTAPORN LERTSARI, SETHAWAT KAMPHASEE, KRITSADA SRIKET
  • 2014
  • 2
  • PDF