一种路径签名方法用于在线阿拉伯手写识别

2018 IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition (ASAR) Pub Date : 2018-03-01 DOI:10.1109/ASAR.2018.8480300

Daniel Wilson-Nunn, Terry Lyons, A. Papavasiliou, Hao Ni

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引用次数: 13

摘要

阿拉伯文字是一种具有许多属性的文字，它们汇集在一起，形成了通常被认为是最美丽的文字之一。全世界有超过4亿人使用阿拉伯文字，其历史跨越1800多年，至今仍是世界上最重要的语言之一。使用粗糙路径理论的工具，结合深度学习的最新技术，我们开发了一种阿拉伯笔迹的识别方法。使用在线阿拉伯手写字符的初步结果表明，所开发的方法可以显著降低错误率。

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A Path Signature Approach to Online Arabic Handwriting Recognition

The Arabic script is one that has many properties that come together and result in what is commonly cited as one of the most beautiful scripts. Used by over 400 million people worldwide and with a history spanning over 1800 years, the Arabic script remains one of the most important languages in the world. Using tools from the theory of rough paths, combined with state of the art techniques from deep learning, we develop a recognition methodology for Arabic handwriting. Preliminary results using online Arabic handwritten characters show that the methodology developed can result in a significant decrease in error rate.

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2018 IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition (ASAR)

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