The paper addresses the problem of face recognition for images with lighting problems - flashes, shadows and very low brightness level. Presented algorithm, allowing to eliminate above problems, is based on 2DDCT (two-dimensional Discrete Cosine Transform) supported by brightness gradient reduction, reduction of spatial low frequency spectral components and fusion of spectral features conditioned on average intensities. Presented experiments were conducted on image databases Yale B and Yale B+.

Translated title of the contributionAn algorithm of face recognition under difficult lighting conditions
Original languagePolish
Pages (from-to)201-204
Number of pages4
JournalPrzeglad Elektrotechniczny
Volume88
Issue number10 B
StatePublished - 18 Dec 2012

    Research areas

  • Face recognition, Illumination reduction, Two-dimensional Discrete Cosine Transform

    Scopus subject areas

  • Electrical and Electronic Engineering

ID: 49225395