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Comparative Study of Character Recognition Tools

by Purna Vithlani, C.k.kumbharana
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 9
Year of Publication: 2015
Authors: Purna Vithlani, C.k.kumbharana
10.5120/20774-3274

Purna Vithlani, C.k.kumbharana . Comparative Study of Character Recognition Tools. International Journal of Computer Applications. 118, 9 ( May 2015), 31-36. DOI=10.5120/20774-3274

@article{ 10.5120/20774-3274,
author = { Purna Vithlani, C.k.kumbharana },
title = { Comparative Study of Character Recognition Tools },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 9 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 31-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number9/20774-3274/ },
doi = { 10.5120/20774-3274 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:01:14.788372+05:30
%A Purna Vithlani
%A C.k.kumbharana
%T Comparative Study of Character Recognition Tools
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 9
%P 31-36
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Optical Character Recognition tools are used to convert handwritten or typewritten characters to machine editable form. OCR tools are either a stand-alone command-line application or GUI application. In this paper, Tesseract tool, GOCR tool and other Desktop and Web OCR tools are presented. Among them, Researchers have selected six open source and free tools for handwritten character recognition and presented comparative study of it. Researchers have collected 2520 handwritten character and digit samples from the various persons and compare it with six different tools and found out highest recognition rate of each character and digit.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Tesseract tool GOCR tool Web OCR Desktop OCR.

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