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Automated Text Detection and Text-Line Construction in Natural Images

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Computer Science and its Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 203))

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Abstract

This work develops an automated system to detect texts in natural images captured by the cameras embedded on mobile devices. Unlike former researches which focus on detecting with straight texts, this work proposes a text-line construction algorithm which is able to extract curved text-lines in any orientations. An image operator called the Stroke Width Transform is adopted to exploit connected components which have stroke-like properties. Text components are classified into two types: active and passive. The links of active components are considered the initial orientation of text-lines. Complete text-lines are constructed by linking active and passive components. The system is implemented on the Android platform and the experimental results demonstrate the feasibility and validity of the proposed system.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science Information Engineering, Vanung University, 32061, Zhongli, Taiwan, Republic of China)

    Chih-Chang Yu, Wang-Hsin Hsu & Thomas C. Chuang

  2. Department of Computer Science Information Engineering, National Central University, 32001, Zhongli, Taiwan, Republic of China.)

    Ying-Nong Chen

Authors
  1. Chih-Chang Yu
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  2. Ying-Nong Chen
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  3. Wang-Hsin Hsu
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  4. Thomas C. Chuang
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Corresponding author

Correspondence to Chih-Chang Yu .

Editor information

Editors and Affiliations

  1. , Electrical Engineering & ComputerScience, Mokwon University, Daejeon, Korea, Republic of (South Korea)

    Sang-Soo Yeo

  2. , Department of Computer Science, Georgia State University, Atlanta, 30302-3994, USA

    Yi Pan

  3. , Division of Computer Engineering, Mokwon University, Mokwon Gil-21, Doan-dong, Seo-gu, Daejeon, 302-729, Korea, Republic of (South Korea)

    Yang Sun Lee

  4. , Division of Business Administration, Sangmyung University, Seoul, Korea, Republic of (South Korea)

    Hang Bae Chang

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© 2012 Springer Science+Business Media Dordrecht

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Yu, CC., Chen, YN., Hsu, WH., Chuang, T.C. (2012). Automated Text Detection and Text-Line Construction in Natural Images. In: Yeo, SS., Pan, Y., Lee, Y., Chang, H. (eds) Computer Science and its Applications. Lecture Notes in Electrical Engineering, vol 203. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5699-1_68

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  • DOI: https://doi.org/10.1007/978-94-007-5699-1_68

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-5698-4

  • Online ISBN: 978-94-007-5699-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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