Neural Network Based Handwritten Character Recognition
2021 ◽
pp. 335-340
Keyword(s):
In this paper, an endeavor is made to perceive handwritten characters for English letters in order. The principle point of this task is to plan a master framework for, "HCR(English) utilizing Neural Network". that can viably perceive a specific character of type design utilizing the Artificial Neural Network approach. The handwritten character acknowledgment issue has become the most well-known issue in AI. Handwritten character acknowledgment has been a difficult space of examination, with the execution of Machine Learning we propose a Neural Network based methodology. Acknowledgment, precision rate, execution and execution time are a significant model that will be met by the technique being utilized.
2017 ◽
Vol 8
(3)
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pp. 528
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2019 ◽
Vol 2
(4)
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pp. 178
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2021 ◽
Vol 620
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pp. 126562
2019 ◽
Vol 128
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pp. 121-127
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2008 ◽
Vol 9
(11)
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pp. 1514-1523
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2005 ◽
Vol 117
(4)
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pp. 1709-1712
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