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Incorporating Ridges with Minutiae for Improved Fingerprint verification

Author(s): M.Indra | S.Krishnaveni | P.Suriyapriya

Journal: Signal & Image Processing
ISSN 2229-3922

Volume: 3;
Issue: 5;
Start page: 81;
Date: 2012;
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Keywords: Breadth first search | distortion | geometric transformation | ridge features | ridge-based coordinate system | ridge patterns | ridge vector.

Next to DNA, fingerprint is the unique feature which identifies the individual. Distortions and skin deformations makes the fingerprint unreliable and it is difficult to match using minutiae alone. But when ridge features are incorporated with minutiae features (minutiae type, orientation and position) more topological information can be obtained. And also ridges are invariant to transformations such as rotation and translation[1]. Ridge based coordinate system is used to extract the ridge features such as ridge length, ridge count, ridge type and curvature direction in the skeletonized image. Breadth First Search is used to traverse the graph formed using the minutiae as the node and the ridge vector formed using theridge features as the edge. The proposed ridge feature gives additional information for fingerprint matching with little increment in template size and can be used along with the existing minutiae features to increase the accuracy and robustness of fingerprint recognition systems.
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