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Font Acknowledgment and Character Extraction of Digital and Scanned Images

by Syed Muhammad Arsalan Bashir
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 70 - Number 8
Year of Publication: 2013
Authors: Syed Muhammad Arsalan Bashir
10.5120/11979-7850

Syed Muhammad Arsalan Bashir . Font Acknowledgment and Character Extraction of Digital and Scanned Images. International Journal of Computer Applications. 70, 8 ( May 2013), 1-5. DOI=10.5120/11979-7850

@article{ 10.5120/11979-7850,
author = { Syed Muhammad Arsalan Bashir },
title = { Font Acknowledgment and Character Extraction of Digital and Scanned Images },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 70 },
number = { 8 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume70/number8/11979-7850/ },
doi = { 10.5120/11979-7850 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:32:18.621871+05:30
%A Syed Muhammad Arsalan Bashir
%T Font Acknowledgment and Character Extraction of Digital and Scanned Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 8
%P 1-5
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The font recognition and character extraction is of immense importance as these are many scenarios where data are in such a form, which cannot be processed like in image form or as a hard copy. So the procedure developed in this paper is basically related to identifying the font (Times New Roman, Arial and Comic Sans MS) and afterwards recovering the text using simple correlation based method where the binary templates are correlated to the input image text characters. All of this extraction is done in the presence of a little noise as images may have noisy patterns due to photocopying. The significance of this method exists in extraction of data from various monitoring (Surveillance) camera footages or even more. The method is developed on Matlab© which takes input image and recovers text and font information from it in a text file.

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Index Terms

Computer Science
Information Sciences

Keywords

Font recognition character extraction optical font recognition scanned text to digital text conversion data extraction from noisy image

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