Parallel layer scanning based fast dot/dash line detection algorithm for large scale binary document images

Chinthaka Premachandra, H. Waruna H. Premachandra, Chandana D. Parape, Hiroharu Kawanaka

研究成果: Conference contribution

抜粋

A fast dot/dash line detection method suitable for large scale binary document images is proposed. The method works by reducing the number of scanned pixels used for the detection process. In the new method, pixels in vertical image layers with only a constant spacing are scanned. By using this technique, the computational time can be reduced because some of the uninteresting objects in the image can easily be omitted in the scanning stage. The new method is faster than the conventional method not only due to its scanning method but it also due to the simple process used for detecting dot/dash lines. A dot/dash line is detected by selecting a small defined image domain from the large scale image. We evaluated the new method against conventional methods on appropriate document images and found an improved processing time without any significant loss of line detection ability.

元の言語English
ホスト出版物のタイトルImage Analysis and Recognition - 11th International Conference, ICIAR 2014, Proceedings
編集者Mohamed Kamel, Aurélio Campilho
出版者Springer Verlag
ページ395-402
ページ数8
ISBN(電子版)9783319117577
DOI
出版物ステータスPublished - 2014 1 1
イベント11th International Conference on Image Analysis and Recognition, ICIAR 2014 - Vilamoura, Portugal
継続期間: 2014 10 222014 10 24

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)
8814
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Other

Other11th International Conference on Image Analysis and Recognition, ICIAR 2014
Portugal
Vilamoura
期間14/10/2214/10/24

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • これを引用

    Premachandra, C., Premachandra, H. W. H., Parape, C. D., & Kawanaka, H. (2014). Parallel layer scanning based fast dot/dash line detection algorithm for large scale binary document images. : M. Kamel, & A. Campilho (版), Image Analysis and Recognition - 11th International Conference, ICIAR 2014, Proceedings (pp. 395-402). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 8814). Springer Verlag. https://doi.org/10.1007/978-3-319-11758-4_43