许秦蓉.EMS表单中手写体中文识别图像预处理方法研究[J].包装工程,2014,35(21):80-85.
XU Qin-rong.Image Preprocessing Method for Recognition of Handwritten Chinese Characters in EMS Forms[J].Packaging Engineering,2014,35(21):80-85. |
| EMS表单中手写体中文识别图像预处理方法研究 |
| Image Preprocessing Method for Recognition of Handwritten Chinese Characters in EMS Forms |
| 投稿时间：2013-10-07 修订日期：2014-11-10 |
| DOI： |
| 中文关键词: 手写中文字符 识别 图像分割 图像预处理 |
| 英文关键词: handwritten Chinese characters recognition image relocation and segmentation image preprocessing |
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| 中文摘要: |
| 目的 在脱机手写体文字识别系统中， 由于自由书写的字符不可避免地受到图像背景不均匀、 图像倾斜和字符粘连及大小不一等因素的影响， 为了确保字符切分和识别的正确性， 对EMS表单中手写体汉字字符图像预处理方法进行探讨， 展示了EMS表单图像预处理的全过程。方法 采用最小二乘法作拟合直线的方法， 对目标图像进行定位和分割， 用基于大津阈值的分块阈值算法处理目标图像的背景不均问题， 并减少噪声干扰。 结果 该图像预处理方法在1020张真实EMS图像上进行测试， 识别正确率达到了86.3%。结论 该方法有一定的灵活性和抗干扰性， 减少了图像噪声对汉字字符切分和识别的影响。 |
| 英文摘要: |
| Objective In OCR system, image preprocessing is particularly important for recognition of unlimited handwritten Chinese characters. Some unavoidable factors from image background, image skew and touching characters bring in errors for character segmentation, recognition and post-processing. In this paper, we focused on the image preprocessing method for recognition of handwritten Chinese characters in EMS Forms and the whole process was shown. Methods Method of finding fitting Straight Line by Least Squares was used to deal with the relocation and segmentation of the target image. Block threshold based Otsu's method was adopted to remove the image background and to eliminate the noise interferences. Results The proposed method was tested on 1024 real EMS envelope images. The system achieved a recognition rate of 86.3% . Conclusion The experimental results demonstrated that the proposed method effectively reduced the influence of image noises on the segmentation and recognition of handwritten Chinese characters. |
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