The National Institute of Standards and Technology has released three biometric datasets to help organizations test the accuracy of biometric identification systems. One of the datasets includes fingerprint images, face images, and iris images that are all linked, which can help test the accuracy of systems that use multiple approaches to verify identities. The datasets also include fingerprints taken from contactless fingerprint devices and latent fingerprint data, in which individuals left prints while using everyday objects.
Testing the Accuracy of Biometric Systems
Michael McLaughlin is a research analyst at the Center for Data Innovation. He researches and writes about a variety of issues related to information technology and Internet policy, including digital platforms, e-government, and artificial intelligence. Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He received his Master’s in Communication at Stanford University, specializing in Data Journalism.
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