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

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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%.

本文言語English
ホスト出版物のタイトルArtificial Intelligence and Computational Intelligence - Third International Conference, AICI 2011, Proceedings
ページ135-142
ページ数8
PART 3
DOI
出版ステータスPublished - 2011 10 19
イベント3rd International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011 - Taiyuan, China
継続期間: 2011 9 242011 9 25

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 3
7004 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

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

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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