退化文档图像的内容定向增强

DAR '12 Pub Date : 2012-12-16 DOI:10.1145/2432553.2432564

Sangeet Aggarwal, Sanjeev Kumar, Ritu Garg, S. Chaudhury

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引用次数: 4

摘要

大多数文档预处理技术都是参数相关的。在本文中，我们提出了一个新的框架，该框架根据文档图像内容的性质学习最优参数，用于二值化和文本/图形分割。学习问题被表述为一个利用EM算法自适应学习最优参数的优化问题。实验结果证明了该方法的有效性。

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Content directed enhancement of degraded document images

Most of the document pre-processing techniques are parameter dependent. In this paper, we present a novel framework that learns optimal parameters, depending on the nature of the document image content for binarization and text/graphics segmentation. The learning problem has been formulated as an optimization problem using EM algorithm to adaptively learn optimal parameters. Experimental results have established the effectiveness of our approach.

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来源期刊

DAR '12

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