Fusion of visual and infrared face biometric scores by projection

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


This paper presents a projection model to fuse the scores of a visual face verification system and an infrared face verification system. Essentially, the model consists of an arbitrarily number of linear projection vectors with randomly permuted elements. An equal error rate formulation is next adopted to learn the linear coefficients for projection. The learned model is consequently used for prediction of verification states of unseen data. Our empirical evaluation using a moderate size data set shows potential of the proposed method.

Original languageEnglish
Title of host publicationTENCON 2009 - 2009 IEEE Region 10 Conference
Publication statusPublished - 2009
Event2009 IEEE Region 10 Conference, TENCON 2009 - Singapore, Singapore
Duration: 2009 Nov 232009 Nov 26

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON


Other2009 IEEE Region 10 Conference, TENCON 2009

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering


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