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

• 主要作者: Ahmad S.M.S.
• 其他作者: 24721182400
• 格式: Conference paper
• 出版: 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

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...