Open AccessHandwritten Character Recognition Using Neural Network
Author(s) -
. Monika,
Monika Ingole,
Khemutai Tighare
Publication year - 2021
Publication title -
international journal of scientific research in science and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-602X
pISSN - 2395-6011
DOI - 10.32628/cseit217460
Subject(s) - computer science , artificial neural network , handwriting , character (mathematics) , precept , artificial intelligence , point (geometry) , plan (archaeology) , intelligent character recognition , character recognition , natural language processing , machine learning , philosophy , geometry , mathematics , theology , archaeology , image (mathematics) , history
In this paper, an enterprise is made to perceive manually written characters for English letters so as. The precept point of this mission is to plan a master framework for, "HCR(English) utilizing neural community". That could viably understand a particular individual-of-kind layout making use of the artificial neural community approach. The manually written man or woman acknowledgment trouble has grown to be the maximum famous trouble in ai. Handwritten man or woman acknowledgment has been a difficult space of exam, with the execution of gadgets getting to know we suggest a neural network-based methodology. The development is based totally on neural network, that is a subject of look at in artificial intelligence. Distinct strategies and methods are used to broaden a handwriting person recognition system. Acknowledgment, precision fee, execution, and execution time are massive versions on the way to be met through the technique being applied. The purpose is to illustrate the effectiveness of neural networks for handwriting character recognition.