A comparison of whitespace normalization methods in a text art extraction method with run length encoding

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Text based pictures called text art or ASCII art can be noise in text processing and display of text, though they enrich expression in Web pages, email text and so on. With text art extraction methods, which detect text art areas in a given text data, we can ignore text arts in a given text data or replace them with other strings. We proposed a text art extraction method with Run Length Encoding in our previous work. We, however, have not considered how to deal with whitespaces in text arts. In this paper, we propose three whitespace normalization methods in our text art extraction method, and compare them by an experiment. According to the results of the experiment, the best method in the three is a method which replaces each wide width whitespace with two narrow width whitespaces. It improves the average of F-measure of the precision and the recall by about 4%.

Original languageEnglish
Title of host publicationArtificial Intelligence and Computational Intelligence - Third International Conference, AICI 2011, Proceedings
Pages135-142
Number of pages8
EditionPART 3
DOIs
Publication statusPublished - 2011 Oct 19
Event3rd International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011 - Taiyuan, China
Duration: 2011 Sep 242011 Sep 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume7004 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011
CountryChina
CityTaiyuan
Period11/9/2411/9/25

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Keywords

  • Information Extraction
  • Natural Language Processing
  • Pattern Recognition

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Suzuki, T. (2011). A comparison of whitespace normalization methods in a text art extraction method with run length encoding. In Artificial Intelligence and Computational Intelligence - Third International Conference, AICI 2011, Proceedings (PART 3 ed., pp. 135-142). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7004 LNAI, No. PART 3). https://doi.org/10.1007/978-3-642-23896-3_16