SVM-Based Synthetic Fingerprint Discrimination Algorithm and Quantitative Optimization Strategy
نویسندگان
چکیده
منابع مشابه
SVM-Based Synthetic Fingerprint Discrimination Algorithm and Quantitative Optimization Strategy
Synthetic fingerprints are a potential threat to automatic fingerprint identification systems (AFISs). In this paper, we propose an algorithm to discriminate synthetic fingerprints from real ones. First, four typical characteristic factors-the ridge distance features, global gray features, frequency feature and Harris Corner feature-are extracted. Then, a support vector machine (SVM) is used to...
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ژورنال
عنوان ژورنال: PLoS ONE
سال: 2014
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0111099