Data augmentation for handwritten digit recognition using generative adversarial networks

Ganesh Jha; Hubert Cecotti

doi:10.1007/s11042-020-08883-w

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Data augmentation for handwritten digit recognition using generative adversarial networks

Ganesh Jha Hubert Cecotti

Year: 2020 Journal: Multimedia Tools and Applications Vol: 79 (47-48)Pages: 35055-35068 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-020-08883-w

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Keywords:

Computer science Artificial intelligence Classifier (UML) Digit recognition Generative grammar Pattern recognition (psychology) Artificial neural network Machine learning Deep learning

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Handwritten Text Recognition Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing and 3D Reconstruction

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Data augmentation for handwritten digit recognition using generative adversarial networks

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