Abstract
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.
Cite
CITATION STYLE
Monika, Ingole, M., & Tighare, K. (2021). Neural Network Based Handwritten Character Recognition. International Journal of Scientific Research in Science and Technology, 335–340. https://doi.org/10.32628/cseit217472
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