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Kernel PCA enabled bit-string representation for minutiae-based cancellable fingerprint template

delete2016-03-01
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OA
AI
A
Andrew Beng Jin Teoh
Y
Yau Hee Kho
M
M. L. Dennis Wong *
DOI:10.1016/j.patcog.2015.09.032delete
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Abstract

Abstract

En 中文
Minutiae set is one of the prevalent features used to represent a fingerprint. Many minutiae protection schemes have been proposed in recent literature, but only a few have demonstrated successful conversion from minutiae set to fixed-length bit-string. In this paper, we develop a fixed-length binary cancellable fingerprint template generation scheme based on a minutia descriptor known as the multiline code (MLC). While retaining the core of MLC algorithm, we transform the unordered and variable-size MLC template into an ordered and fixed-length bit-string using kernel principal components analysis (KPCA) and state-of-the-art binarization techniques. The construction of a proper kernel suited for the scenario was validated using Mercer's Theorem. Evaluation of the proposed scheme was performed over several FVC datasets and the best equal-error rate (EER) obtained for the final bit-string is 1.61%. In addition, extensive analysis was done to justify the non-invertibility and revocability property of the cancellable template. (C) 2015 Elsevier Ltd. All rights reserved.
Keywords:
Cancellable fingerprint
Multi-line code (MLC)
Kernel principal components analysis (KPCA)
Fixed-length representation
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Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

Organization

S
Swinburne University of Technology
Scholars:
9.3K
Papers: 1.2W
Citations: 2.0W
Y
Yonsei University
Scholars:
4.8W
Papers: 4.6W
Citations: 5.2W