首页> 外文会议>10th International Conference on Computational Science and Its Applications (ICCSA 2010) >GUC100 Multi-scanner Fingerprint Database for In-House (Semi-public) Performance and Interoperability Evaluation
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GUC100 Multi-scanner Fingerprint Database for In-House (Semi-public) Performance and Interoperability Evaluation

机译:用于内部(半公开)性能和互操作性评估的GUC100多扫描仪指纹数据库

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In this paper, we describe the GUC100 multi-scanner fingerprint database that has been created for independent and in-house (semi-public) performance and interoperability testing of third party algorithms. The GUC100 was collected by using six different fingerprint scanners (TST, L-1, Cross Match, PreciseBiometrics, Lumidigm and Sagem). Over several months fingerprint images of all 10 fingers from 100 subjects on all 6 scanners were acquired. In total, GUC100 contains almost 72.000 fingerprint images.The GUC100 database enables to evaluate various performances and interoperability settings by taking into account different influencing factors such as fingerprint scanner, image quality and so on. The GUC100 data set is freely available to other researchers and practitioners provided that they conduct their testing in the premises of the Gjovik University College in Norway, or alternatively submit their algorithms (in compiled form) to run on GUC100 by researchers in Gjovik.We applied a commercial fingerprint verification algorithm on GUC100 and the reported results indicate that GUC100 is a challenging database.
机译:在本文中,我们描述了为独立和内部(半公开)性能以及第三方算法的互操作性测试而创建的GUC100多扫描仪指纹数据库。通过使用六种不同的指纹扫描仪(TST,L-1,Cross Match,PreciseBiometrics,Lumidigm和Sagem)收集GUC100。经过几个月的时间,在所有6台扫描仪上采集了100个受试者的所有10个手指的指纹图像。总共,GUC100包含近72.000个指纹图像。GUC100数据库可通过考虑指纹扫描仪,图像质量等不同的影响因素来评估各种性能和互操作性设置。 GUC100数据集可免费提供给其他研究人员和从业人员,只要他们在挪威Gjovik大学学院的场所进行测试,或者将其算法(以汇编形式)提交给Gjovik研究人员在GUC100上运行。 GUC100上的商用指纹验证算法,报告的结果表明GUC100是一个具有挑战性的数据库。

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