An efficient open system for offline handwritten signature identification based on curvelet transform and one-class principal component analysis

标题
An efficient open system for offline handwritten signature identification based on curvelet transform and one-class principal component analysis
作者
关键词
One-class classifiers, Curvelet transform, Fuzzy integral, Density measures, Open handwritten signature identification system
出版物
NEUROCOMPUTING
Volume 265, Issue -, Pages 66-77
出版商
Elsevier BV
发表日期
2017-06-03
DOI
10.1016/j.neucom.2017.01.108

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