Biometric discretization based on reliability-dependent bit allocation and linearly separable subcode encoding

Meng Hui Lim, Andrew Beng Jin Teoh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Biometric discretization converts biometric features into a binary string via a feature space quantization and a subsequent encoding process. The classification accuracy of the discretized features can be improved by weighting the features according to their discrimination power through a bit allocation process in such a way that more bits are allocated to more discriminative features and vice versa. This paper presents a discretization scheme based on reliability-dependent bit allocation and Linearly Separable Subcode encoding to extract discriminative binary strings for biometric representation. The superiority of our approach is experimentally vindicated using two popular face data sets.

Original languageEnglish
Title of host publicationProceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
Pages894-899
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 - Singapore, Singapore
Duration: 2012 Jul 182012 Jul 20

Publication series

NameProceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

Other

Other2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
Country/TerritorySingapore
CitySingapore
Period12/7/1812/7/20

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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