基于手写压力归一化的不同采集笔互操作性研究
On handwriting pressure normalization for interoperability of different acquisition stylus
摘要：
在本文中，我们提出了一个压力表征和规范化的在线手写采集过程。标准化过程中进行了测试，在生物识别实验（识别和验证）使用在线签名数据库MCYT，其中包括来自330个用户的签名。我们的目标是分析真实的不匹配场景，其中用户使用一支触针注册，然后，稍后，他们使用具有不同压力响应的不同触针模型产生一些测试样本。实验结果表明：1）压力信号中的饱和行为2）所研究的不同触笔中的不同动态范围3）借助于压力信号归一化以及失配条件下的性能降级来提高生物识别准确度4）借助于压力归一化可以获得不同触笔之间的互操作性。与不匹配的情况相比，归一化产生高于7%（绝对值）的签名识别率的改进。
英文摘要：
In this paper, we present a pressure characterization and normalization procedure for online handwritten acquisition. Normalization process has been tested in biometric recognition experiments (identification and verification) using online signature database MCYT, which consists of the signatures from 330 users. The goal is to analyze the real mismatch scenarios where users are enrolled with one stylus and then, later on, they produce some testing samples using a different stylus model with different pressure response. Experimental results show: 1) a saturation behavior in pressure signal 2) different dynamic ranges in the different stylus studied 3) improved biometric recognition accuracy by means of pressure signal normalization as well as a performance degradation in mismatched conditions 4) interoperability between different stylus can be obtained by means of pressure normalization. Normalization produces an improvement in signature identification rates higher than 7% (absolute value) when compared with mismatched scenarios.
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