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Proceedings Paper

Improved method for extraction of fingerprint features
Author(s): Jianwei Yang; Lifeng Liu; Tianzi Jiang
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Paper Abstract

Extracting features from fingerprints is a crucial step in fingerprint verification and recognition. Here, features are represented as minutiae, such as end points and bifurcation points. Many algorithms for this issue have been developed recently. This paper presents a fingerprint feature extraction method through which minutiae are extracted directly from original gray-level fingerprint images without binarization and thinning. Our algorithm improves the performance of the existing ones along this stream. Our experimental results demonstrate that our approach can achieve better performance in both efficiency and robustness.

Paper Details

Date Published: 31 July 2002
PDF: 7 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477196
Show Author Affiliations
Jianwei Yang, Institute of Automation (China)
Lifeng Liu, Institute of Automation (China)
Tianzi Jiang, Institute of Automation (China)

Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics
Wei Sui, Editor(s)

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