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首页> 外文会议>International conference on communications and cyber physical engineering >Performance Analysis of Deskewing Techniques for Offline OCR
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Performance Analysis of Deskewing Techniques for Offline OCR

机译：离线OCR的脱光技术性能分析

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摘要

Optical Character Recognition (OCR) is a significantly important research domain of pattern recognition. Achieving a better accuracy of recognition along with acceptable execution efficiency is a key challenge in performing the recognition task. The stage of preprocessing which assist the step of feature extraction is responsible for performing a series of operation including Deskewing to retain and maintain only that part of the information which is essential for the operation of recognition. The paper presents detailed performance analysis different skew detection methods. The analysis presented in this paper will help in deciding which method performs well for any particular script. The analysis is helpful in deciding deskewing technique for handwritten & printed script.
机译：光学字符识别（OCR）是模式识别的重要重要研究领域。在执行识别任务时，实现更好的识别准确性以及可接受的执行效率是一个关键挑战。辅助特征提取步骤的预处理阶段负责执行一系列操作，包括倾斜以保留并仅维护对识别操作至关重要的信息。本文提出了详细的性能分析不同的偏斜检测方法。本文提出的分析将有助于确定任何特定脚本的方法均匀。该分析有助于决定手写和印刷脚本的脱离技术。

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