Discover magazine reports on UB method for automating crime-scene shoe prints

Published May 14, 2013

An article in Discover magazine reports UB computer scientist Yi Tang and colleagues have developed a way to automate footwear forensics to make it easier to match shoe tread patterns obtained from crime scenes. The article notes Tang compared 300 real crime-scene prints and tried to match them with a database of 2,660 known prints and found that 99 percent of the time, the correct match was within the top 5 percent of results.

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