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It is a common topic of conversation: the dying art of handwritten letters and more personal forms of communication. The fact is that the communication by tapping is very efficient. It is faster to tap and send a hit than it is to write a note or a letter and then send to someone, and SMS can often convey important information much faster than a call.
This does not mean that the slower versions of things have lost their place in this world, they only have to be fed. Scientists at University College London have developed a computer program that can replicate the manuscript of a person named "My Text in their Handwriting".
The program examines the manuscript of a person - an example than smaller than a paragraph - and allows the user to enter new text using their own handwriting. The art of handwritten can continued, but with the tap and e-mail address.
"Our software has many valuable applications," Dr. Tom Haines, a Professor of Computer Science at University College London and one of the developers of the program. "For example, strokes can formulate letters without worrying the unreadability or someone who sends flowers as a gift could include a handwritten note without even going to the florists. It could also be used in comic books in which a handwritten text can be translated into different languages ??without losing the original style of the author. "
The program is another example of machine learning software. We have seen examples of Machine in a variety of things like self-propelled cars, the nest-smart thermostat, robots that are taught how to make housework and apps that can identify the flowers.
In this case, the algorithm analyzes the glyphs of a person or the way a person writes a particular letter. The software finds what is consistent about the style and the distance of these glyphs and then replicated. Beyond the characters, the software reproduces the pen line and color of a person, ligatures (markings that connect letters) and reflects the vertical and horizontal distance.
The researchers say that unlike the fonts that mimic the handwriting, but clearly computer generated, the software generates a text that actually looks handwritten. They tested this by asking people to distinguish between envelopes that were addressed by their software, and those who were written by hand, and volunteers were deceived by the software by 40 percent of the time.
The team has recorded famous handwriting patterns and retirement of such lights as Abraham Lincoln, Frida Kahlo and Arthur Conan Doyle (whose original handwriting is set out above, followed by the software version). While some could say that this could lead to mistakes, the researchers say that their handwriting analysis software, which synthesized tiny details in texture and shape, could actually be a useful tool to determine counterfeiting.
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