chxj1992 / Captcha_cracker
卷积神经网络实现的验证码识别
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captcha_cracker
简介
这是一个基于 Keras 编写的卷积神经网络模型，简单实现的验证码识别功能。
Captcha 是一款 Laravel 社区中流行的验证码生成库, 项目模型的训练集以及在线测试所用到的验证码均采用该库生成。
运行环境 Ubuntu16.04 python3.5.2 virtualenv Tensorflow Backend
实现原理
- 用
Captcha生成2组每组2000个4位验证码图片（图片尺寸：36×120），并等分成4份(单张图片尺寸：36×30)，将单个字符的图片分类保存在images目录中作为训练集（每组8000张图片）。 - 生成2组每组500个4位验证码图片（图片尺寸：36×120），并等分成4份(单张图片尺寸：36×30)，将单个字符的图片分类保存在
images目录中作为测试集（每组2000张图片）。 - 运行
pack_data.py将图片转为RGB矩阵并用cPickle打包为单个文件 - 运行
train.py分别使用两组训练、测试数据对模型进行各100轮的训练，模型权重保存在weights.hdf5文件中
生成验证码代码样例可参考 CaptchaGenerator.php
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