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

Jakub Gozdur

jakub.gozdur@pollub.edu.pl
Lublin University of Technology (Poland)

Bartosz Wiśniewski


Lublin University of Technology (Poland)

Piotr Kopniak


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

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[3] Asit K. Datta, Madhura Datta, Pradipta K. Banerjee: Face Detection and Recognition: Theory and Practice. CRC Press. Boca Raton 2015
[4] Peter N. Belhumeur, Joao P. Hespanha, and David J. Kriegman: Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection. IEEE Transactions on Pattern Analysis and Machine Intelligence. Tom 19 Nr 7/1997
[5] Super data science, https://www.superdatascience.com/opencvface-recognition/ [15.05.2018].

Published
2019-03-30

Cited by

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

Authors

Jakub Gozdur 
jakub.gozdur@pollub.edu.pl
Lublin University of Technology Poland

Authors

Bartosz Wiśniewski 

Lublin University of Technology Poland

Authors

Piotr Kopniak 

Lublin University of Technology Poland

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