A convolutional recursive deep architecture for unconstrained Urdu handwriting recognition
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DOI: 10.1007/s00521-021-06498-2
Abstract: An offline handwriting recognition system for Urdu, a language with a user base of 200 Million and written in Nastaleeq script, has been a challenge for the research community. The key problems include recognition of… read more here.
Keywords: convolutional recursive; architecture; unconstrained urdu; urdu handwriting ... See more keywords