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A TMS320C54 system for effective online Signature Verification using Hidden Markov Models

机译:Tms320C54系统,使用隐马尔可夫模型进行有效的在线签名验证

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摘要

In this paper we present a scheme for real time implementation of a Hidden Markov Model based Signature Verification System on a TMS320C54 processor. Here we explain in detail our overall methodology and the subsequent DSP implementation. We also propose two new algorithms which would further facilitate real-time operation. We use the Baum-We1ch Algorithm for training the HMM and the Viterbi Algorithm for the testing of our proposed system. It may be noted that the technique of HMMs have hitherto been applied for speech modelling and only recently has its application to the field of Signature Verification been considered. Our proposed system has an overall accuracy of 11.64% FAR and 0.64% FRR.
机译:在本文中,我们提出了一种在TMS320C54处理器上实时实现基于隐马尔可夫模型的签名验证系统的方案。在这里,我们详细解释了我们的总体方法和随后的DSP实现。我们还提出了两种新算法,这些算法将进一步促进实时操作。我们使用Baum-We1ch算法训练HMM,使用Viterbi算法测试我们提出的系统。可以注意到,迄今为止,HMM的技术已经被应用于语音建模,并且直到最近才考虑将其应用于签名验证领域。我们提出的系统的整体精度为11.64%FAR和0.64%FRR。

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