Browsing Department of Computer Sciences (BUIC-E-8) by Subject "Unconstrained"

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Browsing Department of Computer Sciences (BUIC-E-8) by Subject "Unconstrained"

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  • Anita Ishaq, 01-243212-002. (Computer Sciences, 2023)
    The technique is intended to overcome the difficulty of recognising Arabic-like scripts, particularly Urdu, which is a challenging and understudied script for offline handwriting recognition. The encoder-decoder approach ...

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