Defective Key Detection In Keyboard Using Image Processing Techniques

Journal Title: Scholars Journal of Engineering and Technology - Year 2014, Vol 2, Issue 4

Abstract

There are many limitations related to testing of manufactured item. Solution of these limitations is costly due to the human evaluation procedure, and efficiency is not so promising. Thus, automation of the process has resolved residual issues. With the similar theme, we have proposed an algorithm for the detection of defective keys in keyboard using image processing techniques. Many different types of keyboard’s images were acquired for algorithm validation. Proposed algorithm was implemented in MATLAB software and tested on acquired images. Results have shown the defective keys with annotations on the image. Keywords: Keyboard, adaptive image thresholding, image segmentation, morphological operations, defect detection, automatic detection

Authors and Affiliations

Shafali Goyal, Reecha Sharma

Keywords

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  • EP ID EP385036
  • DOI -
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How To Cite

Shafali Goyal, Reecha Sharma (2014). Defective Key Detection In Keyboard Using Image Processing Techniques. Scholars Journal of Engineering and Technology, 2(4), 628-631. https://europub.co.uk./articles/-A-385036