基于隐马尔可夫模型的磁性支票字符自动识别

1993 IEEE South African Symposium on Communications and Signal Processing Pub Date : 1993-08-06 DOI:10.1109/COMSIG.1993.365866

D. Strydom, J. du Preez, S. Mostert

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引用次数: 0

摘要

给定一个具有独特模式的信号，可以很容易地定义一个模型，将这种信号表示为具有独特特征的状态序列。模型是隐马尔可夫模型(HMM)，其配置方式仅依赖于建议的分割技术。每个段代表HMM中的一种状态。提出模型是为了识别目的。

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Automatic recognition of magnetic cheque characters with hidden Markov models

Given a signal with a distinct pattern, one can easily define a model that represents such a signal as a sequence of states each with unique features. The models are hidden Markov models (HMM) configured in the most obvious way dependent only on the segmentation technique suggested. Each segment represents a state in the HMM. Models are proposed for recognition purposes.<>

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1993 IEEE South African Symposium on Communications and Signal Processing

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