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Signature verification using shape descriptors and multiple neural networks

机译:使用形状描述符和多个神经网络签名验证

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This paper presents an off-line signature verification system. The verification is based on signature shape descriptors such as the skeleton, upper and lower envelopes, and the high pressure region of the signatures. Multiple multilayer perceptron neural network modules cooperating in taking a verification decision via a fuzzy integral voter are used. This method is capable of verifying simple and skilled forgeries with a good performance.
机译:本文介绍了离线签名验证系统。验证基于诸如骨架,上部和下包络等签名形状描述符和签名的高压区域。使用多个多层的Perceptron神经网络模块通过模糊积分选民进行验证决策。这种方法能够验证具有良好性能的简单熟练的伪造。

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