Fingerprint Sensors for Interoperable Person Identification Through Canonical Representations
Fingerprint sensor interoperability has received limited attention in biometrics literature. Even though large efforts are being put to design more and more accurate matching algorithms there are research challenges to make them interoperable. Most of the existing fingerprint matching algorithms are restricted in their ability to match fingerprint images originating from different sensors resulting poor inter-sensor performance. We perform interoperability test on three databases, University of Pune in-house database (With two optical sensors of same resolution), MCYT-100 database (One capacitive and one optical sensor, both with same resolution) and one Chinese Academy of Science Multi-sensor database (Three optical sensors with different resolutions and one capacitive sensor with small capture area). We propose a method to generate canonical fingerprint images which are independent of the underlined sensor hardware. Performance evaluation with NIST's Bozorth3 matching algorithm shows significant improvement by representing fingerprint images in the canonical form.
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Document Type: Research Article
Publication date: 01 April 2017
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