HANDWRITTEN TEXT RECOGNITION USING MACHINE LEARNING

K.Tulasiram, Spandana Reddy Muthyala, Sneha Bandi, Manasa Anagandla
2022 Zenodo  
Objective: Handwritten text recognition is one of the most active and hard study fields in AI and machine learning. To accomplish this a handwritten manuscript is scanned and converted into a basic text document. Methods: The fundamental optical character recognition (OCR) methods examines a documents text and converts it into data processing codes. We focus on offline identification of handwritten English words by first detecting individual characters in this research. In the field optical
more » ... acter recognition, handwritten text recognition is still a study topic (OCR). This research presence a cost effective method for developing for handwritten text recognition system. In this paper a three layer artificial neural network (ANN) is used in a supervised learning technique. Results: The trained system has high level of accuracy with an average of above 95%. So, by converting handwritten text documents to digital form , it is possible to split up difficult problems and reduce the amount of human intervention.
doi:10.5281/zenodo.6876941 fatcat:5ogchi2ph5frvprmwmwcyo3mre