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:2019,28(1):32-37
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抗倾斜的中文文本图像文件识别技术
(浙江理工大学 信息学院, 杭州 310018)
Anti-Tilt Chinese Text Image File Recognition Technology
(School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China)
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投稿时间:2018-07-21    修订日期:2018-08-21
中文摘要: 针对实际应用场景中如何在大批量图像文件中快速找到中文印刷体文本图像文件进行OCR (Optical Character Recognition)识别的问题,本文在笔画宽度变换算法(SWT)的基础上,设计了针对中文文本固有特点的启发式规则,并将水平投影技术与离散傅里叶变换相结合,提出了一种适合倾斜角度在-90至90°之间的中文印刷体文本图像文件识别技术.实验结果显示,在1606张测试集图像文件的识别中,本文算法针对文本图像文件整体识别F值(F-Measure)为0.95,平均识别耗时为0.65 s.
Abstract:In view of how to quickly find Chinese printed text image files in bulk image file for Optical Character Recognition (OCR) recognition in practical application scenarios, this study designs heuristic rules for the inherent characteristics of Chinese text, based on the Stroke Width Transform algorithm (SWT), and combines horizontal projection technology with discrete Fourier transform, a Chinese printed text image file recognition technique suitable for tilt angles between -90 and 90° is proposed. The experimental results show that in 1606 test set image files, the overall recognition F-measure of the algorithm for text image files is 0.95, and the average recognition time is 0.65 s.
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基金项目:浙江省服装个性化定制协同创新中心项目(浙教高科[2016]63号)
引用文本:
周一枫,张华熊.抗倾斜的中文文本图像文件识别技术.计算机系统应用,2019,28(1):32-37
ZHOU Yi-Feng,ZHANG Hua-Xiong.Anti-Tilt Chinese Text Image File Recognition Technology.COMPUTER SYSTEMS APPLICATIONS,2019,28(1):32-37

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