Study on the effect of number of training samples on HMM based offline and online signature verification systems

• 主要な著者: Ahmad S.M.S., Shakil A., Balbed M.A.M.
• その他の著者: 24721182400
• フォーマット: Conference paper
• 出版事項: 2023
• 主題: Biometrics; Hidden Markov models; Information technology; Markov processes; Paper; Speech recognition; Systems engineering; Capture rates; False acceptance rates; False rejection rates; Malaysians; Offline; Offline signature verifications; Online signature verification systems; Signature verifications; System failures; Training samples; Online systems

This paper reports on the effect that the number of samples used in training a signature verification system has on the system's accuracy which is describes by the pair combination of the system False Acceptance Rate (FAR) and False Rejection Rate (FRR). This paper also describes such an effect...