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- W2315426151 abstract "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 the ridge 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." @default.
- W2315426151 created "2016-06-24" @default.
- W2315426151 creator A5036973900 @default.
- W2315426151 creator A5063414149 @default.
- W2315426151 date "2012-10-31" @default.
- W2315426151 modified "2023-09-23" @default.
- W2315426151 title "Incorporating Ridges with Minutiae for Improved Fingerprint verification" @default.
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- W2315426151 doi "https://doi.org/10.5121/sipij.2012.3507" @default.
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