A survey on Arabic Optical Character Recognition and an isolated handwritten Arabic Character Recognition algorithm using encoded freeman chain code
A survey on Arabic Optical Character Recognition and an isolated handwritten Arabic Character Recognition algorithm using encoded freeman chain code
复制标题
阿拉伯语光学字符识别综述和使用编码弗里曼链码的孤立手写阿拉伯语字符识别算法
DOI：
10.1109/ciss.2017.7926062
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Chao Lu
中科院分区：
文献类型：
--
作者：
Hassan Althobaiti;Chao Lu
光学字符识别（OCR）是识别图像中的文本并将其转换为数字形式的过程。人们尝试了几种方法来准确地识别印刷阿拉伯语中的字符。本调查的重点是手写阿拉伯语的OCR。我们将描述阿拉伯语文本的一般困难，典型OCR系统的主要过程以及阿拉伯语OCR系统的一些增强。我们还将描述一种使用编码的弗里曼链码识别手写孤立阿拉伯字符的新方法。对几个手写阿拉伯文进行了训练和测试，初步实验结果令人满意。
Optical Character Recognition (OCR) is the process of identifying text in an image and convert it into a digital form. Several approaches have been attempted to accurately recognize characters in printed Arabic language. This survey focuses on OCR in handwritten Arabic language. We will describe the general difficulties in Arabic language text, the main process of a typical OCR system and some enhancements to Arabic OCR systems. We will also describe a novel approach for identifying handwritten isolated Arabic characters using encoded Freeman chain code. Several handwritten Arabic characters were trained and tested, and the preliminary experimental results are promising.