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Text Attentional Character Detection Using Morphological Operations: A Survey

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • S. Arun Kumar

    (SRM Institute of Science and Technology)

  • A. Divya

    (SRM Institute of Science and Technology)

  • P. Jeeva Dharshni

    (SRM Institute of Science and Technology)

  • M. Vedharsh Kishan

    (SRM Institute of Science and Technology)

  • Varun Hariharan

    (SRM Institute of Science and Technology)

Abstract

This paper reads on the possibility of using morphological operations to specify out a text from image using the basic mathematical grayscale morphology operations to make the text conspicuous and to use the artificial neural network methods to recognize the text from the image without any loss of texts from image even if the surface of the foreground-background combination is not properly defined. So as to make sure even in cases of unshaped background surfaces, light flares upon the foreground text, blurry or low-quality text scenes, the possibility of recognising the text from the natural scene is high and viable.

Suggested Citation

  • S. Arun Kumar & A. Divya & P. Jeeva Dharshni & M. Vedharsh Kishan & Varun Hariharan, 2020. "Text Attentional Character Detection Using Morphological Operations: A Survey," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 409-416, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_39
    DOI: 10.1007/978-3-030-41862-5_39
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