Mr. Hongmei Gou Profile

Hongmei Gou

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Publications (4)

Proceedings Article | 27 February 2007 Paper

Robust scanner identification based on noise features

Hongmei Gou, Ashwin Swaminathan, Min Wu

Proceedings Volume 6505, 65050S (2007) https://doi.org/10.1117/12.704688

KEYWORDS: Scanners, Wavelets, Digital imaging, Cameras, CCD image sensors, Digital cameras, Statistical analysis, Feature extraction, Linear filtering, Image processing

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Proceedings Article | 16 February 2006 Paper

Fingerprinting digital elevation maps

Hongmei Gou, Min Wu

Proceedings Volume 6072, 60720Z (2006) https://doi.org/10.1117/12.643276

KEYWORDS: Statistical analysis, Digital watermarking, Tolerancing, Data hiding, Sensors, Analytical research, Detection and tracking algorithms, Raster graphics, Defense technologies, 3D image processing

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Proceedings Article | 9 February 2006 Paper

Sub-pixel analysis to support graphic security after scanning at low resolution

Bertrand Haas, Robert Cordery, Hongmei Gou, Steve Decker

Proceedings Volume 6075, 60750B (2006) https://doi.org/10.1117/12.641516

KEYWORDS: Printing, Distance measurement, Visualization, Inkjet technology, Information security, Scanners, Forensic science, Analog electronics, Defense and security, Computer security

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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.

Proceedings Article | 21 March 2005 Paper

Handling uneven embedding capacity in binary images: a revisit

Min Wu, Jessica Fridrich, Miroslav Goljan, Hongmei Gou

Proceedings Volume 5681, (2005) https://doi.org/10.1117/12.587379

KEYWORDS: Binary data, Data hiding, Computer programming, Steganography, Visualization, Error analysis, Dysprosium, Digital watermarking, Chemical elements, Image processing

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