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Neural Probabilistic System for Text Recognition [article]

Najoua Rahal and Maroua Tounsi and Adel M. Alimi
2019 arXiv   pre-print

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2019 pre-print arXiv:1812.03680v4 fatcat:emzkxhzsyzhvpee65mbei25f4e

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2019 pre-print
arXiv:1812.03680v3 fatcat:ha5okhcusfajpcxx5dtk7kgp2y
2019 pre-print
arXiv:1812.03680v5 fatcat:6ynvgtdoezgpxjbignrskeuyjq
2018 pre-print
arXiv:1812.03680v1 fatcat:kz3lt4oulrhbpgtlnotf5h2ffa
2018 pre-print
arXiv:1812.03680v2 fatcat:l3gwesjxiverbd7udgdf7wk4li
For features learned quality evaluation, our proposed system was tested on two printed text datasets PKHATT text line images and APTI word images benchmark.  ...  Unconstrained text recognition is a stimulating field in the branch of pattern recognition.  ...  This part provides a literature review covering HMM works for text recognition. Jiang et al. [22] proposed a system for discovering boundary model of small-size Arabic printed text recognition.  ... 
arXiv:1812.03680v6 fatcat:jhsbm5oiyrcabg75kzapey5foa
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Najoua Rahal and Maroua Tounsi and Adel M. Alimi. "Neural Probabilistic System for Text Recognition." arXiv (2019)