Paper
30 October 2009 A novel fingerprint matching scheme combining graphical model and thin plate spline model
Dongjin Fan, Jufu Feng
Author Affiliations +
Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74983R (2009) https://doi.org/10.1117/12.831058
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
Thin-plate spline (TPS) model has been utilized in fingerprint match to deal with nonlinear deformation by Bazen and Gerez in 2002. The matching algorithm is composed of two parts, the local match and the global match. In local match, candidate corresponding points from two minutia sets are obtained by local triangle match which is used for generating TPS model in global match. However, not all candidate pairs are true corresponding ones in prints, and the spurious pairs influence the final results. Here we present a novel matching scheme that inserts the graphical model-based confirming process between the local match and the global match. This middle process not only minimizes the effects of spurious matched pairs, but also provides the reliable degree of candidate pairs used for similarity. Experiments on databases of FVC2004 achieve the good performance.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dongjin Fan and Jufu Feng "A novel fingerprint matching scheme combining graphical model and thin plate spline model", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74983R (30 October 2009); https://doi.org/10.1117/12.831058
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KEYWORDS
Databases

Process modeling

Detection and tracking algorithms

Fingerprint recognition

Model-based design

3D acquisition

3D image processing

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