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Nisir 7747: SlapSegII Analysis: Matching Segmented Fingerprint Images
U. S. Department of Commerce
(Author)
·
Createspace Independent Publishing Platform
· Paperback
Nisir 7747: SlapSegII Analysis: Matching Segmented Fingerprint Images - U. S. Department of Commerce
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Origin: U.S.A.
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Synopsis "Nisir 7747: SlapSegII Analysis: Matching Segmented Fingerprint Images"
The SlapSegII evaluation was performed to measure the current capabilities of four-finger slap segmentation algorithms to correctly segment fingerprints within a certain geometric tolerance of hand-marked ground truth data. The tolerances were based on matching studies conducted on a data sample of the 2-inch tall slap fingerprint data. In those matcher studies various tolerance limits were studied and the SlapSegII tolerance limits were selected to have a minimal effect on the matching accuracy.
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The book is written in English.
The binding of this edition is Paperback.
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