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HANDWRITTEN TEXT RECOGNITION USING MACHINE LEARNING
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
doi:10.5281/zenodo.6876941
fatcat:5ogchi2ph5frvprmwmwcyo3mre