| 在线手写签名组合最相似笔段的识别算法 |
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| 引用本文： | 张达治,马驷良,王彦. 在线手写签名组合最相似笔段的识别算法[J]. 吉林大学学报(理学版), 2005, 43(5): 613-616 |
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| 作者姓名： | 张达治 马驷良 王彦 |
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| 作者单位： | （吉林大学数学学院，长春130012） |
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| 基金项目： | 信息产业部电子信息发展基金(批准号:信息运[2002]546号) |
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| 摘 要： | 在线手写签名识别是通过人的生物特征进行身份验证的技术.提出一种基于笔画样本库的识别方法，避免了动态特征点提取、时序段匹配等方法由于书写环境和人物即时的生理特性所带来的问题，同时针对每一笔画的稳定性提出了加权距离计算公式.实验证明该方法行之有效，在保证高识别率的同时又降低了误拒率.
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| 关 键 词： | 在线手写签名识别 笔段 误拒率 |
| 文章编号： | 1671-5489(2005)05-0613-04 |
| 收稿时间： | 2004-12-15 |
| 修稿时间： | 2004-12-15 |
Recognition Algorithm of the most Similar Strokes of Online Handwritten Signature |
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| ZHANG Da-zhi,MA Si-liang,WANG Yan-gang. Recognition Algorithm of the most Similar Strokes of Online Handwritten Signature[J]. Journal of Jilin University: Sci Ed, 2005, 43(5): 613-616 |
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| Authors: | ZHANG Da-zhi MA Si-liang WANG Yan-gang |
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| Affiliation: | （College of Mathematics，Jilin University，Changchun130012，China） |
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| Abstract: | Online handwritten signature recognition is the technology by which the identity is verified via(person's) biological characteristic.This paper puts forward a recognition algorithm based on stroke sample(database),which prevents the questions of picking-up dynamic characteristic method and matching time(sequence) section method etc due to writing environment and person's instant physiological characteristic.At the same time this paper puts forward a weighted distance calculation formula based on weighting to the stability of every stroke.The experiment has proved that this method is effectual.This method reduces the false(reject) rate(FRR) while guaranteeing high recognition rate. |
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| Keywords: | online handwritten signature recognition stroke false reject rate |
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