Chinmay Chinara, Nishant Nath, S. Mishra, Sangram Keshari Sahoo, F. A. Ali
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引用次数: 3
摘要
随着数字计算机的出现，光学字符识别一直是一个具有挑战性的领域。在信息对人类和机器都可读的情况下需要它。OCR的过程由一系列的预处理和后处理步骤组成，这些步骤决定了识别的准确度。本文讨论了OCR过程中涉及的预处理步骤之一，即斜(斜)检测和校正。本文提出的倾斜检测算法称为重心法(Centre of Gravity)，倾斜校正算法称为亚像素偏移法(Sub-Pixel shifts)。该算法保持了简单和优化，以实现有效的倾斜检测和校正。经过测试，对算法进行了性能分析。
A novel approach to skew-detection and correction of English alphabets for OCR
Optical Character Recognition has been a challenging field in the advent of digital computers. It is needed where information is to be readable both to humans and machines. The process of OCR is composed of a set of pre and post processing steps that decide the level of accuracy of recognition. This paper deals with one of the pre-processing steps involved in the OCR process i.e. Skew (Slant) Detection and Correction. The proposed algorithm implemented for skew-detection is termed as the COG (Centre of Gravity) method and for that of skew-correction is Sub-Pixel Shifting method. The algorithm has been kept simple and optimized for efficient skew-detection and correction. The performance analysis of the algorithm after testing has been aptly demonstrated.
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