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ICDAR2015 competition on signature verification and writer identification for on- and off-line skilled forgeries (SigWIcomp2015)

机译:ICDAR2015在线和离线熟练伪造的签名验证和作者识别竞赛(SigWIcomp2015)

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This paper presents the results of the ICDAR 2015 competition on signature verification and writer identification for on- and off-line 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 and training and evaluation data are collected and provided by FHEs and PR-researchers. Four tasks are defined for four different languages; Bengali off-line signature verification, Italian off-line signature verification, German on-line signature verification, and English handwritten text based writer identification. In total, 40 systems have participated in this competition. The participants of the signatures modality were motivated to report their results in Likelihood Ratios (LRs). This has made the systems even more interesting for application in forensic casework. For evaluating the performance of the systems, we have used the forensically substantial Cost of Log Likelihood Ratios (Ĉ) in the case of signatures, and the F-measure in the case of handwritten text.
机译:本文介绍了ICDAR 2015竞赛的结果,该竞赛由PR研究人员和法医笔迹审查员(FHE)共同组织,用于在线和离线熟练伪造的签名验证和作者识别。目的是弥合最新技术发展与法医案例工作之间的差距。考虑了两种方式(签名和手写文本),FHE和PR研究人员收集并提供了培训和评估数据。为四种不同的语言定义了四个任务;孟加拉语离线签名验证,意大利离线签名验证,德国在线签名验证以及基于英文手写文本的作家身份证明。共有40个系统参加了此次比赛。签名方式的参与者被激励以可能性比(LRs)报告他们的结果。这使得该系统在法医案件中的应用变得更加有趣。为了评估系统的性能,在签名的情况下,我们使用了取证的对数似然比的成本(Ĉ),在手写文本的情况下,使用了F量度。

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