Machine Learning in the Field of Optical Character Recognition OCR

Optical character recognition OCR deals with the process of identification of alphabets and various scripts. Optical character recognition OCR is one of the trending topics of all time. Optical character recognition OCR is used for pattern detection and artificial intelligence. Machine learning is widely used in the field of OCR to provide good accuracy in the result. In Python, Pytesseract is an optical character recognition OCR tool for python. The paper starts with an introduction and brief background and history of Optical character recognition OCR systems. Then the various techniques of OCR systems such as optical scanning, location segmentation, pre processing, feature extraction and post processing. The different applications of OCR systems are highlighted next followed by the current uses of the OCR systems. The future of the Optical character recognition OCR systems with machine learning environment is presented. 

by Mr. Rishabh Dubey "Machine Learning in the Field of Optical Character Recognition (OCR)"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5 , August 2020, 

URL: https://www.ijtsrd.com/papers/ijtsrd33233.pdf

Paper Url :https://www.ijtsrd.com/computer-science/other/33233/machine-learning-in-the-field-of-optical-character-recognition-ocr/mr-rishabh-dubey

callforpapermathematics, mathematicsjournal, ugcapprovedjournalsinmathemetics