基于子词边界的阿拉伯文文本行倾斜检测与校正技术

Atallah Al-Shatnawi
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引用次数: 8

摘要

文本行歪斜的检测和校正是阿拉伯文文件识别和分析的第一步。预处理是阿拉伯字符识别(ACR)的关键预处理阶段。它直接影响到系统其他阶段的可靠性和效率,如基线检测、分割和特征提取阶段。本文提出了一种基于子词边界的阿拉伯语手写文本行倾斜检测与校正方法。它由预处理、倾斜检测和倾斜校正三个阶段组成。该方法通过计算子词边界的中点来估计文本行基线。然后在估计的基线上对齐文本行组件。该方法在40位写作者的3960幅文本行手写图像上实现。从有效性方面与水平投影法进行了讨论。该方法的准确率为96.15%,平均时间为6.7秒。它还可以自动检测任何方向文档的文本基线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A skew detection and correction technique for Arabic script text-line based on subwords bounding
Text-line skew detection and correction is the first step in Arabic document recognition and analysis. It is a crucial pre-processing stage of Arabic Character Recognition (ACR). It has a direct effect on the dependability and efficiency of other system stages such as baseline detection, segmentation and feature extraction stages. In this paper an efficient skew detection and correction method for Arabic handwritten text-line based on sub-words bounding is presented. It is constructed from three stages including: pre-processing, skew detection and skew correction stages. The proposed method estimates a text-line baseline based on calculating the middle point for its sub-words bounding. Then align the text-line components on the estimated baseline. The proposed method is implemented on 3960 text-line handwritten images, which were written by 40 writers. It is discussed with the horizontal projection method in terms of effectiveness. The proposed method obtained an accuracy ratio of 96.15%, and takes 6.7 seconds as average time. It can also automatically detect text baselines of documents with any orientation.
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