Anova-based feature analysis and selection in HMM-based offline signature verification system

• 主要な著者: Balbed M.A.M., Ahmad S.M.S., Shakil A.
• その他の著者: 24721384800
• フォーマット: Conference Paper
• 出版事項: 2023
• 主題: Hidden Markov models; Industrial applications; Intelligent systems; Pixels; Regression analysis; Analysis techniques; Center of gravity; Centre of gravity; Density features; Feature analysis; Off-line signature verification; Offline; Skilled forgery; Analysis of variance (ANOVA)

This paper presents an analysis performance of different features in distinguishing between genuine and forged signatures for HMM based offline signature verification systems. The four offline features include pixel density, centre of gravity, distance and angle. All features considered are local in...