摘要
针对目前互联网的全民普及的趋势以致不法分子利用网络散布非法信息、导向性虚假广告等造成部分防备性较弱的网民受其诱导并导致被骗取财产的现象,设计一种基于图文识别的广告图片检测系统,通过对数字图像进行处理,对疑似广告的图片加以鉴别并标记,使网络管理员及早地发现广告图片,以及时作相应的处理,从源头上避免部分网民的财产损失。
At present,the trend of universal popularization of the Internet leads to the illegal elements to spread illegal information and false advertisements on the Internet,which leads to the phenomenon that some Internet users with weak defense are induced by the Internet and are defrauded of property.It designs an advertising image detection system Based on the recognition of text and text.By processing digital images,it identifies and marks the pictures suspected of advertisements,so that network administrators can find the advertising pictures as early as possible and deal with them in a timely manner so as to avoid the property loss of some netizens at the source.
作者
伍祥
刘文豪
赵子祥
王啸楠
WU Xiang;LIU Wen-hao;ZHAO Zi-xiang;WANG Xiao-nan(Collage of Computer and Software Engineering,Anhui Institute of Information Technology,Wuhu 241000,China)
出处
《电脑知识与技术》
2020年第5期87-88,共2页
Computer Knowledge and Technology
基金
安徽省高校自然科学重点项目“基于CamShift方法多场景下的运动目标检测和跟踪技术的分析与研究”(KJ2018A0634)
2019年安徽省级大学生创新创业训练计划项目“DS定制你的美好生活”(201813613013)
安徽省高校自然科学重点项目“基于Hadoop与文本挖掘技术的高校舆情监测的研究与实现”(KJ2018A0629)。
关键词
网络
广告图片
图文识别
网民
network
advertising images
graphic recognition
netizens