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OCR System For Recognition of Used Printed Components For Recycling

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

Author

Listed:
  • Shubhangi Katti

    (Fergusson College)

  • Nitin Kulkarni

    (Fergusson College)

Abstract

Most of the through hole and SMD electronic components have the technical information about the value and other technical specifications printed on the body of the component. This paper proposes Machine Vision system for Recognition of used throughole printed electronic components into different categories using optical character recognition technique. In this paper the method of classification of printed electronic components into different classes viz. Polar Capacitors, Disc capacitors and printed resistors, transistors and integrated circuits have been discussed. As the components to be classified are manufactured by different manufacturing companies it is a very challenging task to read the printed information with different fonts, different color background and different illumination level. Methodology for isolation of lines, words and character using segmentation has been discussed. Extracted characters were recognized using template matching method.

Suggested Citation

  • Shubhangi Katti & Nitin Kulkarni, 2020. "OCR System For Recognition of Used Printed Components For Recycling," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 519-525, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_50
    DOI: 10.1007/978-3-030-41862-5_50
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