用于复制模式决策的文档分类

2015 IEEE 4th Global Conference on Consumer Electronics (GCCE) Pub Date : 2015-10-01 DOI:10.1109/GCCE.2015.7398714

S. Kim, S. Youn, S. Baek, Chulhee Lee

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引用次数: 1

摘要

提出了一种低复杂度的文档分类算法来选择复制模式。目标是在复制过程中选择合适的复制模式。我们首先对扫描图像进行分析，并将其分为三种模式:文本模式、图像模式和混合模式。为了对图像进行分类，我们使用了几个特征，包括低亮度的像素密度、边缘长度和文本线组件。实验结果表明，该算法的分类准确率约为95%。

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Document classification for copy-mode decision

We proposed a low-complexity document classification algorithm to select copy mode. The goal is to select a suitable copy mode during copying process. We first analyzed scanned images and classified them into three modes: text, image, mixed modes. To classify images, we used several features, which include pixel density with low brightness, edge length and text line components. Experimental results showed that the proposed algorithm provided about 95% classification accuracy.

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来源期刊

2015 IEEE 4th Global Conference on Consumer Electronics (GCCE)

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