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

Published May 14, 2013 This content is archived.

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.

http://discovermagazine.com/2013/june/05-software-links-shoe-prints-to-crime-suspects