Comparison of vertical projection profile, moment-based and initial skew rate algorithm for text skew estimation

D. Brodic, I. Draganov, Z. Milivojevic, V. Tasić
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Abstract

This paper makes analysis and evaluation of vertical projection profile, moment-based and initial skew rate algorithm for the text skew. Among these three methods, the initial skew rate method is newly developed, while moment-based is adapted compared to its initial version. The vertical projection profile method is used in its native form, which is widely accepted for text skew estimation. The comparison is based on the experiment which includes testing of the algorithm with a dataset that consist of the printed text image samples. These image samples are given in the resolution of 25, 50 and 300 dpi. Tested algorithms obtain different skew accuracy for different resolution of text images. At the end, the moment-based method has the smallest accuracy declination, which demonstrates its benefit over the other two methods. Furthermore, this contributes to its robustness in applications, which use low resolution images.
垂直投影轮廓、矩基和初始偏斜率算法在文本偏斜估计中的比较
本文分析和评价了垂直投影轮廓、基于矩量和初始歪斜率的文本歪斜算法。在这三种方法中,初始偏斜率法是新发展的,而基于矩的方法相对于初始方法进行了改进。垂直投影轮廓法是一种被广泛接受的文本偏斜估计方法。对比是基于实验的,实验包括用由打印文本图像样本组成的数据集对算法进行测试。这些图像样本分别以25,50和300dpi的分辨率给出。经过测试的算法对于不同分辨率的文本图像获得了不同的倾斜精度。最后,基于矩的方法具有最小的精度下降,这表明了它比其他两种方法的优势。此外,这有助于其在使用低分辨率图像的应用程序中的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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