关于文档图像的纹理

Anil K. Jain, Sushil K. Bhattacharjee, Yao Chen
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引用次数: 35

摘要

将基于多通道滤波的纹理分割方法应用于文本-图形分离、地址块定位和条形码定位等多种文档图像处理问题。在这些分割问题中,图像中的文本上下文或条形码被认为定义了唯一的纹理。因此,这三个文档分析问题都可以作为纹理分割问题。二维Gabor滤波器用于计算纹理特征。监督和非监督方法都用于识别文档图像中的文本或条形码区域。对各种文档图像的分割和分类性能证明了该方法的通用性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On texture in document images
A multichannel filtering-based texture segmentation method is applied to a variety of document image processing problems: text-graphics separation, address-block location, and bar code localization. In each of these segmentation problems, the text context or bar code in the image is considered to define a unique texture. Thus, all three document analysis problems can be posed as texture segmentation problems. Two-dimensional Gabor filters are used to compute texture features. Both supervised and unsupervised methods are used to identify regions of text or bar code in the document images. The performance of the segmentation and classification scheme for a variety of document images demonstrates the generality and effectiveness of the approach.<>
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