Open AccessArtificial Neural Network for Cursive Handwriting Recognition System
Author(s) -
Aditi Gupta
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.e9866.069520
Subject(s) - cursive , handwriting , character (mathematics) , artificial neural network , computer science , character recognition , artificial intelligence , speech recognition , natural language processing , mathematics , image (mathematics) , geometry
Cursive Handwriting acknowledgment is an extremely testing zone because of the one of a kind styles of composing starting with one individual then onto the next. Right now, disconnected cursive composing character acknowledgment framework is portrayed utilizing an Artificial Neural Network. The highlights of every character written in the information are extricated and afterward sent to the neural system. Informational collections, having writings of various individuals are utilized in making framework. The suggested acknowledgment framework yields elevated steps of exactness when contrasted with the ordinary methodologies right now. This framework can effectively perceive cursive messages and convert them into auxiliary structure.