Busch Andrew, Boles Wageeh W, Sridharan Sridha
School of Microelectronic Engineering, Griffith University Nathan Campus, QLD, Australia.
IEEE Trans Pattern Anal Mach Intell. 2005 Nov;27(11):1720-32. doi: 10.1109/TPAMI.2005.227.
The problem of determining the script and language of a document image has a number of important applications in the field of document analysis, such as indexing and sorting of large collections of such images, or as a precursor to optical character recognition (OCR). In this paper, we investigate the use of texture as a tool for determining the script of a document image, based on the observation that text has a distinct visual texture. An experimental evaluation of a number of commonly used texture features is conducted on a newly created script database, providing a qualitative measure of which features are most appropriate for this task. Strategies for improving classification results in situations with limited training data and multiple font types are also proposed.
确定文档图像的文字和语言问题在文档分析领域有许多重要应用，比如对大量此类图像进行索引和分类，或者作为光学字符识别（OCR）的预处理。在本文中，基于文本具有独特视觉纹理这一观察结果，我们研究了将纹理用作确定文档图像文字的一种工具。在一个新创建的文字数据库上对一些常用纹理特征进行了实验评估，从而对哪些特征最适合此任务提供了定性度量。还提出了在训练数据有限和存在多种字体类型的情况下提高分类结果的策略。
