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Off-line Cursive Handwriting Recognition Using Synthetic Training Data - Dissertations in Artificial Intelligence: Infix Tamas Varga
Off-line Cursive Handwriting Recognition Using Synthetic Training Data - Dissertations in Artificial Intelligence: Infix
Tamas Varga
The problem of automatic recognition of scanned handwritten documents is of great importance in scientific, business, and personal applications. This work develops novel methods to generate synthetic handwriting by computer, which enable handwriting recognizers to be better trained with the help of synthetically expanded sets of training samples.
110 pages
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