A shoeprint etched in blood or dust can make a crucial difference in a criminal case, but it all depends on the ability of human examiners to identify a matching shoeprint pattern from thousands in their databases.
It's a laborious, inefficient task.
That's why University at Buffalo computer scientists are developing tools to make the search-and-match process more like a Google search and less like hunting for a needle in a haystack.
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