UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIREC06133


Registration ID:
229603

Page Number

1081-1086

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Title

Optical Character Recognition Using Neural Networks

Abstract

Optical character affirmation (OCR) is technique where images, composed archives or printed content is transformed into machine-coded content whether the substance might be from a photo of a report, a scene-photo and separated records. It is utilized as a sort of data entry from imprinted paper data records, mail, business cards, sales, printouts of composed data, or any suitable representation. It is a strategy for digitizing printed messages with the objective that they can be electronically changed.

Key Words

OCR, Digitization, machine-code, handwritten

Cite This Article

"Optical Character Recognition Using Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.1081-1086, December 2018, Available :http://www.jetir.org/papers/JETIREC06133.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Optical Character Recognition Using Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp1081-1086, December 2018, Available at : http://www.jetir.org/papers/JETIREC06133.pdf

Publication Details

Published Paper ID: JETIREC06133
Registration ID: 229603
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 1081-1086
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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