| 一种新的联机签名鉴别方法 |
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| 引用本文： | 王欢良,张修勇. 一种新的联机签名鉴别方法[J]. 计算机工程与应用, 2004, 40(13): 84-86 |
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| 作者姓名： | 王欢良 张修勇 |
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| 作者单位： | 西北师范大学计算机系,兰州,730070;哈尔滨工业大学计算机科学与技术系,哈尔滨,150001;哈尔滨工业大学计算机科学与技术系,哈尔滨,150001 |
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| 摘 要： | 联机签名技术是基于人体特征的身份鉴别领域的重要技术之一。该文采用改进的方向链码方法对签名特征作了十分有效的提取,并应用支持向量机(SVM)模型进行身份鉴别。实验结果显示,在只有少量真样本进行训练的情况下,对于非专业模仿签名取得了错误拒绝率(FFR)2.22%,错误接受率(FAR)1.91%的较好鉴别效果。这充分表明这种方法具有很好的使用和推广价值。
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| 关 键 词： | 联机签名鉴别 方向链码 支持向量机 |
| 文章编号： | 1002-8331-(2004)13-0084-03 |
A New Method of On-line Signature Verification |
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| Wang Huanliang , Zhang Xiuyong. A New Method of On-line Signature Verification[J]. Computer Engineering and Applications, 2004, 40(13): 84-86 |
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| Authors: | Wang Huanliang Zhang Xiuyong |
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| Affiliation: | Wang Huanliang 1,2 Zhang Xiuyong 21 |
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| Abstract: | On-line Signature Verification is an important technique in the research field of individual verification and identification based on human biological and behavioral characteristics.This paper propose s a new mended directional chain-code method to extract effectively signature feature,then use SVM(Support Vectors Machine)method to classify signatures.The experiments show this method can obtain good signature verification performance that FFR decreases to2.22%and FAR decrease to1.91%for no-special imitating signatures when having only little true samples to train model.The research indicates the proposed method is worth being adopted widely. |
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| Keywords: | on-line signature verification directional chain-code Support Vectors Machine(SVM) |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
