Deep Learning for Roman Handwritten Character Recognition
2018 ◽
Vol 12
(2)
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pp. 455
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Keyword(s):
Big Data
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The advantage of deep learning is that the analysis and learning of massive amounts of unsupervised data make it a beneficial tool for Big Data analysis. Convolution Neural Network (CNN) is a deep learning method that can be used to classify image, cluster them by similarity, and perform image recognition in the scene. This paper conducts a comparative study between three deep learning models, which are simple-CNN, AlexNet and GoogLeNet for Roman handwritten character recognition using Chars74K dataset. The produced results indicate that GooleNet achieves the best accuracy but it requires a longer time to achieve such result while AlexNet produces less accurate result but at a faster rate.
2022 ◽
Vol 10
(1)
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pp. 102-105
2018 ◽
Vol 6
(11)
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pp. 753-758