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Multiple classifiers error rate optimization approaches of an automatic signature verification (ASV) system

Decision level management is a crucial aspect in an Automatic Signature Verification (ASV) system, due to its nature as the centre of decision making that decides on the validity or otherwise of an input signature sample. Here, investigations are carried out in order to improve the performance of an...

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書誌詳細
第一著者:	Ahmad S.M.S.
その他の著者:	24721182400
フォーマット:	Conference paper
出版事項:	2023
主題:	Automatic signature verification Borda count Equal error rate (EER) Multiple classifiers Computer vision Decision making Face recognition Learning systems Object recognition Pattern recognition systems Rough set theory Cascaded classifiers Decision fusion methods Decision levels Equal error rate Error rate Error rate performance Majority voting Multi-stage Multiple classifier approach Optimization approach Performance analysis Performance improvements Real applications Static and dynamic Sub-sets Classifiers
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