This paper aims to study the problem from a systematic point of view. First, it is determined that the most common network to classify fingerprints does suffer ...
Abstract—Fingerprint classification is a frequent approach to deal with very large scale databases in fingerprint recognition. In the last few years, ...
We explain how singularities are detected by block ridgelet transform associated to a SVM classifier. The design and implementation of ridgelet identification ...
This paper aims to study the problem from a systematic point of view. First, it is determined that the most common network to classify fingerprints does suffer ...
Jan 17, 2022 · A study on the calibration of fingerprint classifiers ; Authors. Peralta, Daniel; Tang, Lin; Lippeveld, M.; Saeys, Yvan ; ISBN. 978-1-6654-3902-2 ...
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A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal · A study on the calibration of fingerprint classifiers · On the use ...
Dive into the research topics of 'Classifier Calibration'. Together they form a unique fingerprint. Sort by; Weight · Alphabetically. Computer Science.
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The resulting dataset contains 2 impressions of 1650 fingerprints. ... A study on the calibration of fingerprint classifiers. Conference Paper. Dec 2021. Lin ...
A study on the calibration of fingerprint classifiers · Daniel PeraltaLin Tang ... A Multi-Classifier Approach to Fingerprint Classification · R. CappelliD. Maio ...
Fingerprint. Dive into the research topics of 'Classifier calibration: a survey on how to assess and improve predicted class probabilities'.
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