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Extraction and Revision of Signboard Images for Recognition of Character Strings

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3684))

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Abstract

A function of image recognition is indispensable to an intelligent robot, which can coexist with a human being. Furthermore, the intelligent robot needs to understand the environment of their action range by getting information of characters and maps on signboards in order to act autonomously. In this research, a method using the Color Distance to extract the ground of signboard from one piece of picture by robot’s camera and revising the distortion by virtual movement of a viewpoint is described. It is shown that character strings on the signboard is recognized by an optical character reader after revising the distortion.

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References

  1. Matsuo, K., Ueda, K., Umeda, M.: Extraction of Character String on Signboard from Scene Image Using Adaptive Threshold Methods. Trans. of the Institute of Electronics, Information and Communication Engineers D-II J80-D-II(6), 1617–1626 (1997)

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  2. Hagiwara, T., Watabe, H., Kawaoka, T.: A Revision Method for a String of Printed Character with Distortion. Trans. of the Institute of Electronics, Information and Communication Engineers D-II J86-D-II(2), 262–271 (2003)

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© 2005 Springer-Verlag Berlin Heidelberg

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Watabe, H., Kawaoka, T. (2005). Extraction and Revision of Signboard Images for Recognition of Character Strings. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_99

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  • DOI: https://doi.org/10.1007/11554028_99

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28897-8

  • Online ISBN: 978-3-540-31997-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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