Corrupted face image authentication based on noise model

Ho Choul Jung, Bon W. Hwang, Sang Woong Lee, Seong Whan Lee

Research output: Contribution to journalArticle

2 Citations (Scopus)


In this paper, we propose a method for authenticating corrupted face images based on noise model. The proposed method first generates corrupted images by controlling noise parameters in the training phase. The corrupted image and noise parameters are represented by a linear combination of prototypes of the corrupted images and the noise parameters. With the corrupted image, we can estimate noise parameters of the corrupted image in the testing phase. Then, we can make a synthesized face image from the original face image with the estimated noise parameters and verify it with the corrupted face image. Our experimental results show that the proposed method can estimate noise parameters accurately and improve the performance of face authentication.

Original languageEnglish
Pages (from-to)187-194
Number of pages8
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publication statusPublished - 2004 Dec 1


ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

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