Eigenspace-based face hashing

David C.L. Ngo, Andrew B.J. Teoh, Alwyn Goh

Research output: Contribution to journalArticle

13 Citations (Scopus)


We present a novel approach to generating cryptographic keys from biometrics. In our approach, the PCA coefficients of a face image are discretised using a bit-extraction method to n bits. We compare performance results obtained with and without the discretisation procedure applied to several PCA-based methods (including PCA, PCA with weighing coefficients, PCA on Wavelet Subband, and LDA) on a combined face image database. Results show that the discretisation step consistently increases the performance.

Original languageEnglish
Pages (from-to)195-199
Number of pages5
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publication statusPublished - 2004 Dec 1


All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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