草书语言的混合OCR技术综述与应用

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI:10.1109/CICSyN.2010.36

A. Beg, F. Ahmed, Piers R. J. Campbell

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引用次数: 10

摘要

基于软件的阿拉伯文光学字符识别(OCR)已成功应用多年。然而，基于硬件的OCR实现——比纯软件的方法快10-100倍——似乎还没有得到充分利用。本文简要回顾了基于软件的OCR的研究资料，但更侧重于阿拉伯语OCR的硬件实现。纯软件OCR方法已经相当成熟，但需要使用pc(或类似的平台)，这对于在小型设备(如笔或移动设备)上实现OCR是一个明显的障碍。不同的研究人员已经解决了阿拉伯语(非拉丁)OCR的单个子任务，但不是完整的功能系统。识别精度也有很大的提升空间。实际操作的OCR系统在较小尺寸的主要挑战是优化软件算法，使他们能够有效地和经济有效地实现在硬件。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Hybrid OCR Techniques for Cursive Script Languages - A Review and Applications

Software-based Arabic optical character recognition (OCR) has been used quite successfully for many years. However, the hardware-based implementations of the OCR – which can be 10-100 times faster than the software-only method – seem to not have been fully exploited. This paper briefly reviews the research material addressing software based OCR but focuses more on the hardware realization of Arabic OCR. The software-only OCR methods have achieved reasonable maturity but require use of PCs (or similar platforms), which is an obvious hindrance for OCR implementations in small form factor, such as pens or mobile devices. Different researchers have addressed individual, sub-tasks of Arabic (non-Latin) OCR, but not as complete, functional systems. The recognition accuracies also have significant room of improvement. The main challenge for practically functioning OCR systems in smaller sizes is the optimization of software algorithms so they can be efficiently and cost-effectively realized in hardware.

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来源期刊

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks

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