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Sub-pixel Analysis to Support Graphic Security after Scanning at Low Resolution

机译:子像素分析,以支持低分辨率扫描后的图形安全性

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Whether in the domain of audio, video or finance, our world tends to become increasingly digital. However, for diverse reasons, the transition from analog to digital is often much extended in time, and proceeds by long steps (and sometimes never completes). One such step is the conversion of information on analog media to digital information. We focus in this paper on the conversion (scanning) of printed documents to digital images. Analog media have the advantage over digital channels that they can harbor much imperceptible information that can be used for fraud detection and forensic purposes. But this secondary information usually fails to be retrieved during the conversion step. This is particularly relevant since the Check-21 act (Check Clearing for the 21st Century act) became effective in 2004 and allows images of checks to be handled by banks as usual paper checks. We use here this situation of check scanning as our primary benchmark for graphic security features after scanning. We will first present a quick review of the most common graphic security features currently found on checks, with their specific purpose, qualities and disadvantages, and we demonstrate their poor survivability after scanning in the average scanning conditions expected from the Check-21 Act. We will then present a novel method of measurement of distances between and rotations of line elements in a scanned image: Based on an appropriate print model, we refine direct measurements to an accuracy beyond the size of a scanning pixel, so we can then determine expected distances, periodicity, sharpness and print quality of known characters, symbols and other graphic elements in a document image. Finally we will apply our method to fraud detection of documents after gray-scale scanning at 300dpi resolution. We show in particular that alterations on legitimate checks or copies of checks can be successfully detected by measuring with sub-pixel accuracy the irregularities inherently introduced by the illegitimate process.
机译:无论是在音频,视频还是金融领域,我们的世界往往越来越多。然而,由于不同的原因,从模拟到数字的转变通常在时间延长,并且长时间收益(有时从未完成)。一个这样的步骤是对数字信息的模拟媒体的信息转换。我们专注于将印刷文件转换(扫描)对数字图像的转换(扫描)。模拟媒体具有在数字频道上的优势,它们可以覆盖可用于欺诈检测和法医目的的难以察觉的信息。但是在转换步骤期间,该辅助信息通常无法检索。这是特别相关的,因为Check-21法案(21世纪法案的清算)于2004年生效,并允许银行作为通常的纸质支票处理支票的图像。我们在此处使用这种情况检查扫描作为扫描后图形安全功能的主要基准。首先,我们将首先介绍当前在支票上发现的最常见的图形安全功能,以及他们的特定目的,素质和缺点,我们展示了在检查-21行动预期的平均扫描条件下扫描后的差的生存能力。然后,我们将提出一种测量扫描图像中线元件的距离和旋转的新方法:基于适当的打印模型,我们将直接测量精确到超出扫描像素大小的准确性,因此我们可以确定预期文档图像中已知字符,符号和其他图形元素的距离,周期性,清晰度和打印质量。最后,我们将在灰度扫描到300dpi分辨率后应用我们的方法来欺诈检测文档。我们尤其表明,可以通过用子像素精度测量通过子像素精度来成功检测到合法检查或副本的更改,由非法过程固有地引入的不规则性。

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