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http://dx.doi.org/10.5573/ieek.2013.50.12.176

Rolled Fingerprint Merge Algorithm Using Adaptive Projection Mask  

Baek, Young Hyun (New Technology & Research Division, UnionCommunity Co., Ltd.)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.50, no.12, 2013 , pp. 176-183 More about this Journal
Abstract
We propose a rolled fingerprint merging algorithm that effectively merges plain fingerprints in consecutive frame units that are fed through rolling and detects more fingerprint minutiae in order to increase the fingerprint recognition rate. The proposed rolled fingerprint merging algorithm uses a adaptive projection mask; it contains a detector that separates plain fingerprints from the background and a projection mask generator that sequentially projects the detect ed images. In addition, in the merging unit, the pyramid-shaped projection method is used to detect merged rolled fingerprints from the generated variable projective mask, starting from the main images. Simulations show that the extracted minutia e are 46.79% more than those from plain fingerprints, and the proposed algorithm exhibits excellent performance by detecting 52.0% more good fingerprint minutiae that are needed for matching.
Keywords
Fingerprint; Merge Algorithm; Rolled fingerprint; projection Method; Morphology;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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