移动场景下手写签名识别:性能评估

Ramón Blanco-Gonzalo, O. Miguel-Hurtado, Aitor Mendaza-Ormaza, R. Sánchez-Reillo
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引用次数: 26

摘要

为了改进我们之前在便携式设备上动态手写签名识别的工作,我们在移动场景下进行了性能评估。为了研究不同的参数,如屏幕大小,操作系统和设备之间的互操作性,我们收集了一个包含11个用户和8个移动设备(使用触控笔和手指)的数据库。评估分为3个阶段,每个阶段20个签名;每个用户还使用了20个熟练的伪造签名。使用的设备有手机、平板电脑、笔记本电脑和两种特定的签名设备。对签名进行评估的算法是基于dwt的签名识别算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Handwritten signature recognition in mobile scenarios: Performance evaluation
Following the idea of improving our previous work on dynamic handwritten signature recognition on portable devices, a performance evaluation in a mobile scenario was done. A database with 11 users and 8 mobile devices (using stylus and finger) has been collected in order to study different parameters such as screen size, operative system and the interoperability between the devices. The evaluation was divided by 3 sessions of 20 signatures per device each; 20 skilled forgeries signatures per user were used also. The devices used were mobile phones, tablets, laptops and two specific devices for signing. The algorithm used to assess the signatures was a DTW-based signature recognition algorithm.
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