Abstract
One of the active and difficult study areas in the world of pattern recognition and image processing has been handwriting recognition.It is an effort to use neural networks to recognise handwritten English alphabets.The neural network is trained using several character data sets. Classification and recognition are performed using the trained network.Character recognition (CR) has undergone substantial research over the past 50 years and has advanced to the point where it can develop technology-driven applications.Designing an expert system for "HCR(English) using Neural Network" is the primary goal of this research. utilizing an Artificial Neural Network technique, is capable of accurately identifying a certain character of type format.Given a specific initial state (data input), neural computers are taught (not programmed) to either classify the input data into one of the many classes or to cause the original data to grow in such a way that a specific desirable attribute is optimized. Keywords: Character recognition, Neural Network, Trained dataset, Image processing.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.