OPTICAL RECOGNITION OF DIGITAL CHARACTERS USING MACHINE LEARNING

Aparna Patil; S.W. Mohod; M. D. Ingole

doi:10.17605/OSF.IO/YTR6C

OPTICAL RECOGNITION OF DIGITAL CHARACTERS USING MACHINE LEARNING

Authors

Aparna Patil PRMITR , Badnera ,Dist Amaravati.
S.W. Mohod PRMITR , Badnera ,Dist maravati.
M. D. Ingole PRMITR , Badnera ,Dist Amaravati.

DOI:

https://doi.org/10.17605/OSF.IO/YTR6C

Keywords:

Artificial intelligence, classification algorithm, machine learning, Optical character recognition, machine learning

Abstract

Optical Character Recognition (OCR) plays an important role in document image processing. Recognition of characters in a smart way is gaining importance in the modern days, as huge piles of data is generated, and it needs to be processed and manipulated. In world more than 300 millions peoples uses Devanagari script such as Marathi ,Hindi, Sanskrit has uses Devanagari as base script As compared to English language Devanagari character recognition is complicated. This paper aims at presenting an OCR
utility which recognizes text characters, using a machine learning model.

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Published

2019-09-20

How to Cite

[1]

Aparna Patil, S.W. Mohod, and M. D. Ingole, “OPTICAL RECOGNITION OF DIGITAL CHARACTERS USING MACHINE LEARNING”, IEJRD - International Multidisciplinary Journal, vol. 4, no. 6, p. 6, Sep. 2019.