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I remember this issue being brought up before, specifically with account numbers. As it turns out, with blurred images with a finite set of possibilities (i.e. obscuring numbers rather than an image), its not too awful hard to determine the obfuscated numbers. This link describes a method for doing just that, specifically for images delivered digitally. http://dheera.net/projects/blur.php -- Brian Adams Technical Director 33 Auditorium Department of Theatre Michigan State University East Lansing, MI 48824 On 10/23/07, Richard Wiggins <[log in to unmask]> wrote: > > Recently police in Thailand arrested an accused pedophile after German > detectives reconstructed an image of the suspect's face that had been > distorted using image editing software. > > Clever work on the part of the German detectives. This got me to thinking > about managing sensitive data implications. If you distribute an image, > part of which you've blacked out -- say, a name or an SSN -- unless the > transformation is truly one-way, someone could do the same thing. > > This could be in a PowerPoint presentation or any document. > > I'm thinking the only really safe way to do this would be to blacken a > printed copy (or better yet cut out the sensitive info) and scan it back in. > > Food for thought... > > http://www.smh.com.au/news/world/trace-on-boyfriends-mobile-leads-police-to-pedophile-suspect/2007/10/19/1192301044777.html > > <http://www.smh.com.au/news/world/trace-on-boyfriends-mobile-leads-police-to-pedophile-suspect/2007/10/19/1192301044777.html+> > > /rich >