Comparison of the effectiveness of selected face recognition algorithms for poor quality photos

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Published: Mar 30, 2019
DOI: https://doi.org/10.35784/jcsi.210
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DOI

https://doi.org/10.35784/jcsi.210

Authors

Jakub Gozdur

jakub.gozdur@pollub.edu.pl

Lublin University of Technology, Poland
Bartosz Wiśniewski

bartosz.wisniewski@edu.pollub.pl

Lublin University of Technology, Poland
Piotr Kopniak

p.kopniak@pollub.pl

Lublin University of Technology, Poland

Abstract

The goal of the article is to determine the effectiveness of popular face recognition algorithms for poor quality photos. Basic facial recognition algorithms such as LBPH, Eigenfaces and Fisherfaces were described during the work. A research platform equipped with software allowing to test data and collect results was created. The results of the research showed that the only algorithm suitable for such solutions is LBPH. The others, however, did not achieve a sufficiently high effectiveness factor.

Keywords:

recognition; face; LBPH

References

Article Details

Gozdur, J., Wiśniewski, B., & Kopniak, P. (2019). Comparison of the effectiveness of selected face recognition algorithms for poor quality photos . Journal of Computer Sciences Institute, 10, 67–70. https://doi.org/10.35784/jcsi.210