基于Python深度学习的文字检测识别系统.zip

上传者: sheziqiong | 上传时间: 2023-02-16 11:36:14 | 文件大小: 92.38MB | 文件类型: ZIP
资源包含文件:lunwen文档+任务书+开题报告+文献综述+外文翻译+软件使用说明书+源码及数据集 流程分为两个部分,一是文本检测,二是文本识别。 文字检测的主要功能为:从图像中找到文字区域,并将文字区域从原始图像中分离出来。 文字识别的主要功能为:从分离出来的图像上,进行文字识别。 文字识别流程: 1)预处理:去噪(滤波算法)、图像增强、缩放,其目的是去除背景或者噪点,突出文字部分,并缩放图片为适于处理的大小 2)特征抽取:常用特征:边缘特征、笔画特征、结构特征、纹理特征。 3)识别:分类器,随机森林 、SVM、NN、CNN等神经网络。 本次设计的环境如下 软件环境 操作系统 ubantu 16.04 Tensorflow tensorflow1.3.0-gpu Python python2.7 硬件环境 CPU Intel(R) Xeon(R) CPU E5-2650 v4 @ 2.20GHz GPU TITAN X (Pascal) 详细介绍参考:https://biyezuopin.blog.csdn.net/article/details/125342848

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