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Reseach Article

Impact of Smearing Techniques on Text Line Localization of Kannada Historical Scripts

Published on September 2015 by Vishwas H S, Bindu A Thomas
National Conference “Electronics, Signals, Communication and Optimization"
Foundation of Computer Science USA
NCESCO2015 - Number 3
September 2015
Authors: Vishwas H S, Bindu A Thomas
7490a838-e581-4ca4-9a95-01680fb843be

Vishwas H S, Bindu A Thomas . Impact of Smearing Techniques on Text Line Localization of Kannada Historical Scripts. National Conference “Electronics, Signals, Communication and Optimization". NCESCO2015, 3 (September 2015), 19-22.

@article{
author = { Vishwas H S, Bindu A Thomas },
title = { Impact of Smearing Techniques on Text Line Localization of Kannada Historical Scripts },
journal = { National Conference “Electronics, Signals, Communication and Optimization" },
issue_date = { September 2015 },
volume = { NCESCO2015 },
number = { 3 },
month = { September },
year = { 2015 },
issn = 0975-8887,
pages = { 19-22 },
numpages = 4,
url = { /proceedings/ncesco2015/number3/22310-5327/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference “Electronics, Signals, Communication and Optimization"
%A Vishwas H S
%A Bindu A Thomas
%T Impact of Smearing Techniques on Text Line Localization of Kannada Historical Scripts
%J National Conference “Electronics, Signals, Communication and Optimization"
%@ 0975-8887
%V NCESCO2015
%N 3
%P 19-22
%D 2015
%I International Journal of Computer Applications
Abstract

Text line localization and segmentation is an important preprocessing stage in the context of document image analysis. Text lines must be localized first and then segmented in the logical order. The final recognition results are highly dependent on the results of text line segmentation. Historical documents have free form handwritten text and pose a great challenge for text line segmentation. The presence of connected and overlapping characters make the segmentation task more challenging. Smearing techniques have been conventionally used for the purpose of text line localization. In this paper, performance analysis of various smearing techniques is carried out on the text line localization of Kannada historical scripts.

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Index Terms

Computer Science
Information Sciences

Keywords

Smearing Techniques Run Length Smoothing Algorithm Binary Transition Count Map Adaptive Local Connectivity Map Touching / Overlapping Components