基于深度学习的验证码识别Web应用平台  

Web Application Platform for Captcha Breaking Based on Deep Learning

作　　者：王昊[1] 康晓凤[1] 卢志科 施润杰 黄成鑫 WANG Hao;KANG Xiaofeng;LU Zhike;SHI Runjie;HUANG Chengxin(College of Information Engineering,Xuzhou Institute of Technology,Xuzhou 221000,China)

机构地区：[1]徐州工程学院信息工程学院,江苏徐州221000

出　　处：《软件工程》2020年第4期40-43,共4页Software Engineering

基　　金：江苏省大学生创新创业训练项目(项目编号:xcx2019076).

摘　　要：目前许多网站使用验证码阻止黑客进行暴力破解登录口令,但是随着技术的发展验证码识别的难度及成本日益提升,传统的OCR(OpticalCharacterRecognition)技术识别效率已不能满足需求。VcodeIdentify平台使用TensorFlow建立深度学习模型并结合Web应用开发的一款验证码识别软件,使用该平台用户不仅可以通过调用接口或者上传文件的形式对验证码进行识别,而且还可以建立新模型并训练,进而可以识别新类型验证码,该软件使用简单、扩展性强。At present,many websites use verification codes to prevent hackers from performing brute-forced login passwords.However,the re-adoption of technology to develop verification codes increases the complexity and cost of recognition.The traditional OCR(Optical Character Recognition) technology recognition has been unable to meet efficiency needs.The Vcode Identify recognition platform uses TensorFlow to build a deep learning model.The verification code recognition software was developed in conjunction with a web application.Using this platform,users not only can identify verification codes by calling interfaces or uploading files but also can build and train new models to identify the new type of verification code.This system is simple to use and highly scalable.

关 键 词：深度学习 PYTHON WEB 验证码识别 Vcode Identify平台 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论]