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Ridge-flow determination in fingerprint imagesFormat | Member Price | Non-Member Price |
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Paper Abstract
The paper describes how, given a ridge-and-valley image of a fingerprint, a flow map can be extracted. The first step is a unique grayscale algorithm based on 3D mathematical morphology to extract the ridge lines under a wide range of conditions. The paper then compares the results of finding the ridge flow using micropatterns, extended templates (on binary and grayscale images), and several well-known, traditional techniques. The question of spatial resolution is also addressed.
Paper Details
Date Published: 25 February 1994
PDF: 12 pages
Proc. SPIE 2103, 22nd AIPR Workshop: Interdisciplinary Computer Vision: Applications and Changing Needs, (25 February 1994); doi: 10.1117/12.169476
Published in SPIE Proceedings Vol. 2103:
22nd AIPR Workshop: Interdisciplinary Computer Vision: Applications and Changing Needs
J. Michael Selander, Editor(s)
PDF: 12 pages
Proc. SPIE 2103, 22nd AIPR Workshop: Interdisciplinary Computer Vision: Applications and Changing Needs, (25 February 1994); doi: 10.1117/12.169476
Show Author Affiliations
James H. Beyer, Environmental Research Institute of Michigan (United States)
Charles D. Lake, Environmental Research Institute of Michigan (United States)
Charles D. Lake, Environmental Research Institute of Michigan (United States)
Robert M. Lougheed, Environmental Research Institute of Michigan (United States)
Published in SPIE Proceedings Vol. 2103:
22nd AIPR Workshop: Interdisciplinary Computer Vision: Applications and Changing Needs
J. Michael Selander, Editor(s)
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