Freeform Cursive Handwriting Recognition Using a Clustered Neural Network
Description:
Optical character recognition (OCR) software has advanced greatly in recent years. Machine-printed text can be scanned and converted to searchable text with word accuracy rates around 98%. Reasonably neat hand-printed text can be recognized with about 85% word accuracy. However, cursive handwriting still remains a challenge, with state-of-the-art performance still around 75%. Algorithms based on hidden Markov models have been only moderately successful, while recurrent neural networks have deli…
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Date:
August 2015
Creator:
Bristow, Kelly H.
Partner:
UNT Libraries