ASAR 2021 Competition on Online Arabic Character Recognition: ACRC

被引：2

作者：

Hamdi, Yahia ^{[1
]}

Boubaker, Houcine ^{[1
]}

Hamdani, Tarek M. ^{[1
]}

Alimi, Adel M. ^{[1
,2
]}

机构：

[1] Univ Sfax, Natl Engn Sch Sfax, REGIMLab Res Grp Intelligent Machines, LR11ES48, Sfax 3038, Tunisia

[2] Univ Johannesburg, Fac Engn & Built Environm, Dept Elect & Elect Engn Sci, Johannesburg, South Africa

来源：

DOCUMENT ANALYSIS AND RECOGNITION, ICDAR 2021 WORKSHOPS, PT I | 2021年 / 12916卷

关键词：

ACRC; 2021; Online handwriting; LMCA_Database; Character recognition; Systems evaluation; Deep learning;

D O I：

10.1007/978-3-030-86198-8_27

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：379 / 389

页数：11

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