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    • 1. 发明授权
    • Signature verification method using hidden markov models
    • 使用隐马尔可夫模型的签名验证方法
    • US6157731A
    • 2000-12-05
    • US108892
    • 1998-07-01
    • Jianying HuRamanujan S. KashiWinston Lowell NelsonWilliam Turin
    • Jianying HuRamanujan S. KashiWinston Lowell NelsonWilliam Turin
    • G06K9/00G06K9/62
    • G06K9/6297G06K9/00154
    • A signature verification method involves segmenting a smoothed and normalized signature and, for each segment, evaluating at least one local feature, thereby to obtain a feature-value vector. The method further includes computing the likelihood that the segments having the observed sequence of feature values were generated by a particular hidden Markov model, such model comprising a sequence of states having duration probabilities and feature-value histograms. In one aspect, the invention involves explicit state-duration modeling to account for duration in the respective states underlying the unknown signature. In another aspect, the invention involves computing a measure of signature complexity, and setting the number of states of the hidden Markov model according to such complexity measure.
    • 签名验证方法包括分割平滑和归一化的签名,并且对于每个段来评估至少一个局部特征,从而获得特征值向量。 该方法还包括计算具有观察到的特征值序列的段由特定隐马尔科夫模型生成的可能性,该模型包括具有持续时间概率和特征值直方图的状态序列。 在一个方面,本发明涉及明确的状态持续时间建模以考虑未知签名下的相应状态的持续时间。 在另一方面,本发明涉及计算签名复杂度的度量,并且根据这种复杂性度量设置隐马尔可夫模型的状态数。