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Thai Handwritten Verification System on Documents for the Investigation

机译:泰国调查文件手写验证系统

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Forensic biology is the application of biology to law enforcement. Handwriting behavior is one of the biometrics that can be used to identify those who are ownership. This paper proposes an algorithm for Thai handwritten verification on documents. This work intended to prove the handwriting in the investigation. The main issue presented in this paper is divided into three processes including data preparation, classification and results. Consequential, two steps of neuron network algorithm are used to resolve in classification with high accuracy. Then, the models of handwriting are created. Finally, we define criterion to compare between unknown handwritten with our model. The result shows height accuracy 90.00%.
机译:法医生物学是生物学在执法中的应用。手写行为是可以用来识别拥有者的生物特征之一。本文提出了一种泰国文档手写验证的算法。这项工作旨在证明调查中的笔迹。本文提出的主要问题分为三个过程,包括数据准备,分类和结果。结果,神经网络算法的两个步骤被用来高精度地解决分类问题。然后,创建手写模型。最后,我们定义标准以在未知手写体与我们的模型之间进行比较。结果显示高度精度为90.00%。

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