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ICDAR 2013 Competitions on Signature Verification and Writer Identification for On- and Offline Skilled Forgeries (SigWiComp 2013)

机译:ICDAR 2013年签名验证和作家识别的竞争和离线技术练习件(Sigwicomp 2013)

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This paper presents the results of the ICDAR2013 competitions on signature verification and writer identification for on- and offline skilled forgeries jointly organized by PR researchers and Forensic Handwriting Examiners (FHEs). The aim is to bridge the gap between recent technological developments and forensic casework. Two modalities (signatures, and handwritten text) are considered where training and evaluation data (in Dutch and Japanese) were collected and provided by FHEs and PR-researchers. Four tasks were defined where the systems had to perform Dutch offline signature verification, Japanese offline signature verification, Japanese online signature verification, and Dutch writer identification. The participants of the signatures modality were motivated to report their results in Likelihood Ratios (LR). This has made the systems even more interesting for application in forensic casework. For evaluation of signatures modality, we used both the traditional Equal Error Rate (EER) and forensically substantial Cost of Log Likelihood Ratios (Cllr). The system having the smallest value of the Minimum Cost of Log Likelihood Ratio (Cllrmin) is declared winner. For evaluation of the handwritten text modality, we used the precision and accuracy measures and winners are announced on the basis of best F-measure value.
机译:本文介绍了由PR研究人员和法医手写审查员(Fueh)共同组织的签名验证和作家识别的ICDAR2013竞争竞争的结果。目的是弥合近期技术发展与法医案件之间的差距。考虑两个模态(签名和手写文本),其中收集培训和评估数据(荷兰语和日语)并由喂养和公关研究人员提供。定义了四个任务,其中系统必须执行荷兰脱机签名验证,日语脱机签名验证,日语在线签名验证和荷兰语作家识别。签名的参与者是有动力的,以报告它们的似然比(LR)的结果。这使得系统在法医案例中的应用更有趣。为了评估签名方式,我们使用传统的等于错误率(eer)和对数值的实质性成本(CLLR)。宣布了具有最小值的最小值的最小成本(CLLRMIN)的系统被宣布获胜者。对于评估手写文本方式,我们使用精度和准确度措施,并在最佳的F测量值的基础上宣布获胜者。

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