| 在线手写签名认证研究 |
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| 引用本文： | 戴茜茜,温丽敏.在线手写签名认证研究[J].计算机时代,2010(8):7-9,13. |
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| 作者姓名： | 戴茜茜 温丽敏 |
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| 作者单位： | 浙江教育学院,浙江,杭州,310012 |
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| 摘 要： | 手写签名认证是人工智能领域的一个重要课题，对它的深入研究具有重要的现实意义。文章采用基于概率统计的方法表示手写签名的速度特征，用vague集相似度表示书写压力特征，并通过细分的拐点表示笔画特征进行签名认证，最后，构造了一个在线手写签名认证系统。实验证明了该方法的有效性。
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| 关 键 词： | 手写签名 特征提取 概率统计 vague集 拐点特征 签名真伪判别 |
Research of Online Handwritten Signature Authentication |
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| DAI Xi-xi,WEN Li-min.Research of Online Handwritten Signature Authentication[J].Computer Era,2010(8):7-9,13. |
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| Authors: | DAI Xi-xi WEN Li-min |
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| Affiliation: | DAI Xi-xi,WEN Li-min(Zhejiang Education Institute,Hangzhou,Zhejiang 310012,China) |
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| Abstract: | The handwritten signature authentication is one of the important issues in artificial intelligence field,and the in-depth study on it has significant practical meaning.The signature authentication is achieved by using the method based on probability statistics to express the speed feature of handwritten signature,the similarity of vague sets to express the pressure feature of writing,and the subdivided turning point to express the stroke feature of characters.Finally,an online handwritten signature authenti... |
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| Keywords: | handwritten signature feature extraction probability statistics vague sets turning point feature signature verification |
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