动态阈值算法去除视觉文档图像的背向噪声

2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI:10.1109/ICMLC.2011.6017030

Da-Zeng Tian, Chao Wang, Zhiming Zhang

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引用次数: 1

摘要

众所周知，在使用ORC进行识别时，back - front噪声会影响文本的特征提取和分类。本文利用动态阈值法对具有单峰直方图或双峰直方图特征的视觉文档图像进行前后噪声处理。实验结果表明，该算法具有较好的有效性。

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Dynamic threshold algorithm for removal of Back-to-Front noises of visual document image

As we all known, the Back-to-Front noises may affect the feature extraction and classification of text when using ORC to identify. In this paper, we take advantage of dynamic threshold method to process the vision document image of Back-to-Front noise with unimodal or bimodal histogram characteristic. Experimental results show that this algorithm has a better effective.

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来源期刊

2011 International Conference on Machine Learning and Cybernetics

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