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Automation of Fingerprint Recognition Using OCT Fingerprint Images

Author(s): Nasibe Akbari | Ali Sadr

Journal: Journal of Signal and Information Processing
ISSN 2159-4465

Volume: 03;
Issue: 01;
Start page: 117;
Date: 2012;
Original page

Keywords: Optical | Coherence | Tomography | Speckle Denoising | Fingerprint Recognition

Automated recognition of a person is one of the most critical issues in the modern society. Common biometric systems rely on the surface topography of an object and, thus, are potentially vulnerable for spoofing. Optical coherence tomography is a technology that has the capability to probe the internal structure of multilayered tissues. The paper describes an algorithm for automation fingerprint recognition that the algorithm is applied on the OCT fingerprint images. This algorithm is based on scanning of the enhanced and segmented OCT images.
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