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A Novel Text Localization Scheme for Camera Captured Document Images

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Proceedings of 2nd International Conference on Computer Vision & Image Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 703))

Abstract

In this paper, a hybrid model for detecting text regions from scene images as well as document image is presented. At first, background is suppressed to isolate foreground regions. Then, morphological operations are applied on isolated foreground regions to ensure appropriate region boundary of such objects. Statistical features are extracted from these objects to classify them as text or non-text using a multi-layer perceptron. Classified text components are localized, and non-text ones are ignored. Experimenting on a data set of 227 camera captured images, it is found that the object isolation accuracy is 0.8638 and text non-text classification accuracy is 0.9648. It may be stated that for images with near homogenous background, the present method yields reasonably satisfactory accuracy for practical applications.

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Acknowledgements

The authors are thankful to the Department of Computer Science and Engineering of Aliah University for providing every support for carrying out this work. The first author is also thankful to Aliah University for providing research fellowship.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Aliah University, Kolkata, 700156, India

    Tauseef Khan & Ayatullah Faruk Mollah

Authors
  1. Tauseef Khan
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  2. Ayatullah Faruk Mollah
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Correspondence to Tauseef Khan .

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Editors and Affiliations

  1. Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India

    Bidyut B. Chaudhuri

  2. School of Computing, National University of Singapore, Singapore, Singapore

    Mohan S. Kankanhalli

  3. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Balasubramanian Raman

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Khan, T., Mollah, A.F. (2018). A Novel Text Localization Scheme for Camera Captured Document Images. In: Chaudhuri, B., Kankanhalli, M., Raman, B. (eds) Proceedings of 2nd International Conference on Computer Vision & Image Processing . Advances in Intelligent Systems and Computing, vol 703. Springer, Singapore. https://doi.org/10.1007/978-981-10-7895-8_20

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  • DOI: https://doi.org/10.1007/978-981-10-7895-8_20

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7894-1

  • Online ISBN: 978-981-10-7895-8

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