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Improved directional morphological operations for separation of characters from maps/graphics

  • Vectorization and Segmentation
  • Conference paper
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Graphics Recognition Algorithms and Systems (GREC 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1389))

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Abstract

Directional morphological operations for separation of characters from maps/graphics have been proposed previously. In this paper we present an approach to improve the efficiency of this algorithm using run-length-encoded (RLE) image representation. Directional edge images are all represented as directional run-length linked lists. Moreover, we migrate all of the processes used to the RLE data structure. As a result, we reduce significantly both the memory space and the processing time. The improved separation algorithm has all the advantages of the original one. It is independent of font style, font size, and language and map style. It performs well even in cases where lines and characters are connected.

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Karl Tombre Atul K. Chhabra

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© 1998 Springer-Verlag Berlin Heidelberg

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Luo, H., Kasturi, R. (1998). Improved directional morphological operations for separation of characters from maps/graphics. In: Tombre, K., Chhabra, A.K. (eds) Graphics Recognition Algorithms and Systems. GREC 1997. Lecture Notes in Computer Science, vol 1389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64381-8_37

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  • DOI: https://doi.org/10.1007/3-540-64381-8_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64381-4

  • Online ISBN: 978-3-540-69766-4

  • eBook Packages: Springer Book Archive

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