Volume 9 Issue 1 - September 2017

  • 1. Opportunity and challenge on face recognition: generic-to-specific feature representation and recognition strategy

    Authors : Tjokorda Agung Budi Wirayuda, Iping Supriana Suwardi

    Pages : 6-13

    DOI : http://dx.doi.org/10.21172/1.91.02

    Keywords : face recognitionuncontrolled environmentlarge number of subjectgeneric-to-specific feature representation

    Abstract :

    In this paper, we conduct survey about research in face recognition method. The purposes of this survey paper are to give brief about development challenge and opportunity related with state-of-the-art in face recognition method. Face recognition is multi-area research field covering computer vision, pattern recognition, and biometric. Application of face recognition in many areas such as: entertainment, access control mechanism, law enforcement field, population field, security system become one of the factors driving the development of research in the field of face recognition. Recently there were shifting focuses in face recognition research which is performance evaluation in dataset that build in uncontrolled environment with very large number of subject. Opportunities and challenges related with the shifting focuses describe and discuss which cover: 1) dataset for face recognition, 2) robust feature extraction and representation, 3) recognition strategy. We also purpose the idea to develop generic-to-specific feature representation and recognition strategy that close to how human recognition identity from face image.

    Citing this Journal Article :

    Tjokorda Agung Budi Wirayuda, Iping Supriana Suwardi, "Opportunity and challenge on face recognition: generic-to-specific feature representation and recognition strategy", https://www.ijltet.org/journal_details.php?id=921&j_id=3966, Volume 9 Issue 1 - September 2017, 6-13, #ijltetorg