Image Preprocessing for Illumination Invariant Face Verification

Authors

  • Mariusz Leszczyński

DOI:

https://doi.org/10.26636/jtit.2010.4.1092

Keywords:

DLDA, face verification, histogram normalization, homomorphic filtering, illumination normalization, LDA, PCA, preprocessing techniques, quotient image, retinex

Abstract

Performance of the face verification system depend on many conditions. One of the most problematic is varying illumination condition. In this paper 14 normalization algorithms based on histogram normalization, illumination properties and the human perception theory were compared using 3 verification methods. The results obtained from the experiments showed that the illumination preprocessing methods significantly improves the verification rate and it’s a very important step in face verification system.

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Published

2010-12-30

Issue

No. 4 (2010)

Section

ARTICLES FROM THIS ISSUE

License

Copyright (c) 2023 Journal of Telecommunications and Information Technology

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
M. Leszczyński, “ Image Preprocessing for Illumination Invariant Face Verification”, JTIT, vol. 42, no. 4, pp. 19–25, Dec. 2010, doi: 10.26636/jtit.2010.4.1092.