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pro vyhledávání: '"Saeed, Mehreen"'
Arabic handwritten text recognition (HTR) is challenging, especially for historical texts, due to diverse writing styles and the intrinsic features of Arabic script. Additionally, Arabic handwriting datasets are smaller compared to English ones, maki
Externí odkaz:
http://arxiv.org/abs/2410.02179
Autor:
Saeed, Mehreen, Chan, Adrian, Mijar, Anupam, Moukarzel, Joseph, Habchi, Georges, Younes, Carlos, Elias, Amin, Wong, Chau-Wai, Khater, Akram
We present the Manuscripts of Handwritten Arabic~(Muharaf) dataset, which is a machine learning dataset consisting of more than 1,600 historic handwritten page images transcribed by experts in archival Arabic. Each document image is accompanied by sp
Externí odkaz:
http://arxiv.org/abs/2406.09630
Publikováno v:
In Expert Systems With Applications 15 December 2020 161
Publikováno v:
In Knowledge-Based Systems 11 May 2020 195
Autor:
Wali, Aamir, Saeed, Mehreen
Publikováno v:
In BioSystems January 2019 175:24-29
Autor:
Wali, Aamir, Saeed, Mehreen
Publikováno v:
In Biologically Inspired Cognitive Architectures April 2018 24:77-86
Publikováno v:
In Expert Systems With Applications 1 May 2015 42(7):3670-3681
Publikováno v:
In Neurocomputing 2 November 2014 143:248-260
Publikováno v:
In Neurocomputing 7 November 2013 119:366-374