An EM Based Algorithm for Skew Detection

A. Egozi, I. Dinstein, J. Chapran, M. Fairhurst
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引用次数: 6

Abstract

We present a a statistical approach to skew detection, where the textual features of a document image are modeled as a mixture of straight lines in Gaussian noise. The EM algorithm is used to estimate the parameters of the mixture model and the skew angle estimate is extracted from the estimated parameters. Experiments prove that our method has some advantages over other existing methods in terms of accuracy and efficiency.
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一种基于EM的倾斜检测算法
我们提出了一种歪斜检测的统计方法,其中文档图像的文本特征被建模为高斯噪声中直线的混合物。利用电磁算法对混合模型参数进行估计,并从估计参数中提取偏角估计。实验证明,该方法在精度和效率方面都优于现有的方法。
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