Comparison of the effectiveness of selected face recognition algorithms for poor quality photos
Jakub Gozdur
jakub.gozdur@pollub.edu.plLublin 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; LBPHReferences
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[2] Ahonen, T., Hadid, A., and Pietikainen, M.: Face Recognition with Local Binary Patterns. Springer. Heidelberg 2004.
[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
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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
Bartosz WiśniewskiLublin University of Technology Poland
Authors
Piotr KopniakLublin University of Technology Poland
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