BUFFALO, N.Y. – A new University at Buffalo-led study outlines how artificial intelligence-powered handwriting analysis may serve as an early detection tool for dyslexia and dysgraphia among young ...
Writer identification and handwriting analysis represent a confluence of pattern recognition, artificial intelligence and forensic science, aiming to determine the unique characteristics embedded in ...
Handwriting analysis is considered relatively reliable, but original documents are needed for accuracy, experts say.
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