现代信息科技2024，Vol.8Issue(13)：65-69,5.DOI:10.19850/j.cnki.2096-4706.2024.13.014
基于TensorFlow和CNN模型的验证码识别研究
Research on Captcha Recognition Based on TensorFlow and CNN Model
摘要
Abstract
Aiming at the problems of low overall accuracy and insufficient generalization ability of segmentation and recognition methods applied to multi character captcha in traditional Machine Learning,an efficient and universal recognition method is proposed.It designs an end-to-end character captcha recognition process based on CNN model,and uses TensorFlow framework to implement data training and effectiveness verification of the process.This method can efficiently recognize character captcha with an average accuracy of over 95%.By inputting the entire image and directly outputting the overall recognition result,it has stronger universality.It uses CNN models to recognize multi character captcha has higher accuracy and versatility compared to traditional Machine Learning methods.关键词
验证码识别/TensorFlow/CNN/端到端Key words
captcha recognition/TensorFlow/CNN/end-to-end分类
信息技术与安全科学引用本文复制引用
马凯,贺晓松..基于TensorFlow和CNN模型的验证码识别研究[J].现代信息科技,2024,8(13):65-69,5.基金项目
重庆工程学院校内科研基金(2022xzcr02) （2022xzcr02）
