Two-stage skew correction of handwritten Bangla document images

Samir Malakar, B. Seraogi, R. Sarkar, N. Das, S. Basu, M. Nasipuri
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引用次数: 4

Abstract

Skewness in the handwritten document images is a common scenario. Therefore, it is very much required to detect and correct the skewness before the document is presented to the document image analysis system. In this regard, the present work develops a two-stage Hough transform based approach to remove the skewness in the document images written in Bangla script. Firstly, page-level skewness is removed by rotating the skewed text lines appropriately and then skewed words in each text line, if any, are also rotated along a reference line.
手写体孟加拉文文件图像的两阶段偏斜校正
手写文档图像中的偏斜是一种常见的情况。因此,在文档呈现给文档图像分析系统之前,非常需要对文档的偏度进行检测和校正。在这方面,本研究开发了一种基于两阶段霍夫变换的方法,以消除用孟加拉文字编写的文档图像中的偏度。首先,通过适当旋转倾斜的文本行来消除页面级倾斜,然后每个文本行中的倾斜单词(如果有的话)也沿着参考行旋转。
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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