Using AI To Automatically Check Fingerprints

Fingerprints have been used as evidence in criminal trials for over 100 years now, with the first case in the United States taking place in 1911.  Whilst for much of those 100 or so years the fingerprint has been seen as a pretty infallible item of evidence, cracks have begun to appear in recent times.

A team from the National Institute of Standards and Technology (NIST) and Michigan State University have developed an algorithm to automatically check fingerprints in an attempt to remove the potential for errors.

“We know that when humans analyze a crime scene fingerprint, the process is inherently subjective,” the authors say in a recently published paper. “By reducing the human subjectivity, we can make fingerprint analysis more reliable and more efficient.”

Read the full story by


Why having a job isn’t always better for our health New study shows how hard it is to spot bot accounts on Twitter

From our Network

5 Compelling Reasons To Try eLearning For Healthcare And Pharmaceutical Training

Socrates Joins Unicorn Training Group

2 Reasons Why Cloud Training In Large Enterprises Does Not Work

The Challenges Of Extended Enterprise Training - And Their Solutions

The Importance Of Robust LMS Reporting For Training Companies