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Mathematics & Statistics

Image & signal processing

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Displaying 276 - 300 of 311

Nonparametric Analysis of Fingerprint Data on Large Data Sets

December 7, 2006
Author(s)
Jin Chu Wu, Charles Wilson
By executing different fingerprint-image matching algorithms on large data sets, it reveals that the match and non-match similarity scores have no specific underlying distribution function. Thus, it requires a nonparametric analysis for fingerprint-image

An Empirical Study of Sample Size in ROC-Curve Analysis of Fingerprint Data

December 4, 2006
Author(s)
Jin Chu Wu, Charles Wilson
The fingerprint datasets in many cases may exceed millions of samples. Thus, the needed size of a biometric evaluation test sample is an important issue in terms of both accuracy and efficiency. In this article, an empirical study, namely, using Chebyshev

Perceptual Study of the Impact of Varying Frame Rate on Motion Imagery Interpretability

March 1, 2006
Author(s)
Charles D. Fenimore, J Irvine, D Cannon, John W. Roberts, A Aviles, S Israel, Michelle Brennan, L Simon, J Miller, Donna Haverkamp, P F. Tighe, Michael Gross
The development of a motion imagery (MI) quality scale, akin to the National Image Interpretibility Rating Scale (NIIRS) for still imagery, would have great value to designers and users of surveillance and other MI systems. A multi-phase study has adopted

Intrinsic Surface States in Semiconductor Nanocrystals: HgS Quantum Dots

March 23, 2005
Author(s)
James S. Sims, Garnett W. Bryant, Howard Hung
Confined states in typical nanocrystals are localized to the dot interior. Surface states are extrinsic states localized at unsaturated dangling bonds or surface defects. We show that intrinsic surface states occur in nanocrystals made from negative gap

Discovery in Hydrating Plaster Using Multiple Machine Learning Methods

August 3, 2003
Author(s)
John G. Hagedorn, J E. Devaney
We apply multiple machine learning methods to obtain concise rules that are highly predictive of scienti cally meaningful classes in hydrating plaster over multiple time periods. We use three dimensional data obtained through X-ray microtomography at

Federal Register Document Image Database 25, Volume 1

October 1, 1998
Author(s)
Michael D. Garris, Stanley Janet, W Klein
A new, fully-automated process has been developed at NIST to derive ground truth for document images. The method involves matching optical character recognition (OCR) results from a page with typesetting files for an entire book. Public domain software
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