An Investigation of a New Social Networks Contact Suggestion Based on Face Recognition Algorithm
Ivan Zelinka, Petr Saloun, Jakub Stonawski, Adam Ondrejka
DOI: 10.15598/aeee.v14i5.1116
Abstract
Automated comparison of faces in the photographs is a well established discipline. The main aim of this paper is to describe an approach whereby face recognition can be used in suggestion of a new contacts. The new contact suggestion is a common technique used across all main social networks. Our approach uses a freely available face comparison called ‘Betaface’ together with our automated processig of the user’s Facebook profile. The research’s main point of interest is the comparison of friend’s facial images in a social network itself, how to process such a great amount of photos and what additional sources of data should be used. In this approach we used our automated processing algorithm Betaface in the social network Facebook and for the additional data, the Flickr social network was used. The results and their quality are discussed at the end