文章基本信息

标题：Secured Photo Uploading on Online Social Networks
本地全文：下载
作者：Sahla Nazlin A ; Vishnu K
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：3
页码：3250
DOI：10.15680/IJIRSET.2017.0603018
出版社：S&S Publications
摘要：Online Social Networks (ONS) is an important part of our everyday life...At present people are veryinterested to share the photo on online social networks, unluckily which is used for the purpose we not at all imagine.To check possible confidentiality outflow of a group photograph, we prepared a mechanism in which each person cantake part in the decision making on the photograph posting, so everyone in the photograph must be recognized. It isimportant to have a professional facial recognition (FR) system that cans distinguish each person in the photograph.Haar cascade classifier and CBIR (content based image retrieval) algorithm are used in the proposed system for facedetection and recognition. Once the faces are recognized from the group photograph then acceptance or rejectnotifications are sending automatically to each identified people within the close friend circle. The photograph will beposted if all the individuals within the friend circle are accepting the notification and it will not be posted if any of themrejects the notification. We expect that this proposed system would be very useful in protecting users’ confidentiality inphoto/image sharing over online social networks.
关键词：Online Social Network; CBIR; K-Mean Clustering; Face Recognition.