李文龙;汪日伟;

• 1:天津理工大学计算机科学与工程学院

摘要(Abstract)：

为了解决高铁摩擦片编码识别应用中的字符区域分割和方向矫正问题,本文提出了基于YOLO_v3和Tesserac5.0的字符识别算法.首先,利用YOLO_v3网络截取含有字符的感兴趣区域,其次利用本文提出的单行字符矫正算法对图像进行矫正.最后,将灰度化、阈值化后的字符图像输入到基于长短期记忆网络的Tesseract5.0算法中实现字符识别.实验结果表明,本算法有效解决了字符区域提取的问题,并解决了单行字符无法使用方向检测的问题.与传统算法相比具有较好的鲁棒性和较高的精度.

关键词(KeyWords)： YOLO_v3;Tesseract5.0;角度纠正

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Keywords:

基金项目(Foundation):

作者(Author): 李文龙;汪日伟;

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参考文献(References)：

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