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Detecting Doors Edges in Diverse Environments for Visually Disabled People

  • Habib, Mohamed Ibrahim (Computer Science Department, College of Computing and Informatics, Saudi Electronic University, Faculty of Engineering, Port Said University)
  • Received : 2021.05.05
  • Published : 2021.05.30

Abstract

It is a challenge for visually impaired people to access unfamiliar environments independently, hence the quality of life is reduced, and safety of life is compromised. An accurate and reliable door detection system comprising of way finding and indoor navigation can be beneficial for a large number of autonomous and mobile applications for visually impaired people. This paper illustrates an image-based door detection scheme for visually impaired people using stable features (edges and corners) including color averaging and image resizing. Simulation results show that the proposed scheme shows a significant improvement when compared with existing scheme.

Keywords

References

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