Abstract
The online Arabic handwriting recognition task always presents a challenge due to the existence of some complexity and variability of its writing style. In this paper, we describe an online Arabic handwritten Character recognition competition (ACRC) held at ASAR 2021. The aim is to evaluate the limits of Arabic character recognition systems on collected LMCA database (with and without noising). Four systems are participating in this competition which were tested on an unknown test dataset to all participants. Two metrics; notably Character Error Rate (CER) and speed are used to compare the systems. The achieved results in ACRC 2021 demonstrate the high potential of competitive participating systems which are based on deep learning methods.
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Acknowledgments
The research leading to these results has received funding from the Ministry of Higher Education and Scientific R search of Tunisia under the grant agreement number LR11ES4.
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Hamdi, Y., Boubaker, H., Hamdani, T.M., Alimi, A.M. (2021). ASAR 2021 Competition on Online Arabic Character Recognition: ACRC. In: Barney Smith, E.H., Pal, U. (eds) Document Analysis and Recognition – ICDAR 2021 Workshops. ICDAR 2021. Lecture Notes in Computer Science(), vol 12916. Springer, Cham. https://doi.org/10.1007/978-3-030-86198-8_27
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DOI: https://doi.org/10.1007/978-3-030-86198-8_27
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