There was always that one kid in high school that could forge his mom's signature. Remember him? Sick and "get out of school early" notes.
Well that guy has some competition now.
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Computer scientists at University College London have developed software that can analyze a piece of handwriting and then replicate it when writing new sentences, reports Future Timeline.
Oddly enough, the advance could help identify forgeries.
The program, called "My Text in Your Handwriting," uses a machine learning algorithm is built around glyphs -- which are basically the unique and specific ways that individual write certain characters. By analyzing a piece of writing, the software can learn what's consistent across the writer's style and then reproduce it.
In tests lead by Tom Haines, the scientists fed the algorithm sample texts from famous people, including Abraham Lincoln, Frida Kahlo and Arthur Conan Doyle.
Next, they wrote new sentences in the styles of these famous people and then asked people to distinguish between handwritten envelopes and ones created by the software. Watch the video below to learn more: