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Quad Phase Minimum Average Correlation Energy Filters for Reduced Memory Illumination Tolerant Face Authentication

  • Marios Savvides
  • B.V.K. Vijaya Kumar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2688)

Abstract

In this paper we propose reduced memory biometric filters for performing distortion tolerant face authentication. The focus of this research is on implementing authentication algorithms on small factor devices with limited memory and computational resources. We compare the full complexity minimum average correlation energy filters for performing illumination tolerant face authentication with our proposed quad phase minimum average correlation energy filters[1] utilizing a Four-Level correlator. The proposed scheme requires only 2bits/frequency in the frequency domain achieving a compression ratio of up to 32:1 for each biometric filter while still attaining very good verification performance (100% in some cases). The results we show are based on the illumination subsets of the CMU PIE database[2] on 65 people with 21 facial images per person.

Keywords

Point Spread Function Training Image High Spatial Frequency Correlation Output Correlation Filter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Marios Savvides
    • 1
  • B.V.K. Vijaya Kumar
    • 1
  1. 1.Electrical and Computer Engineering DepartmentCarnegie Mellon UniversityPittsburghUSA

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