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•½¬23”N9ŒŽ30“ú@i‹àj @16:00` 17:30 |
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wHandwriting Recognition and Innovative Applicationsx |
| u@Žt |
German Research Center for Artificial Intelligence (DFKI)
@ @@Dr. Marcus Liwicki Ž |
| ŠT@—v |
@Analysis, recognition, and identification of handwriting is one of the
most important topics of artificial intelligence. Since handwriting is
created by hand motion and acquired by digital pen device or tablet, it
is considered as a temporal motion pattern, like human gesture and speech.
It also has another aspect as an image pattern because it can be shown
as a bitmap pattern on a paper. Consequently, the research on this topic
gives wide fundamental technologies as well as practically useful applications.
@In this presentation I will first demonstrate a successful recognition
system for handwritten data. It is based on a new graphical model called
bi-directional and multi-directional long short-term memory networks.
In the second half of my presentation, recent applications in various areas
will be described and demonstrated. Some of these systems have also been
evaluated by an independent group of users who actually use the system. |
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