• Jul 29, 2019 News!IJMLC Had Implemented Online Submission System, Please Sumbit New Submissions thorough This System Only!   [Click]
  • Jul 16, 2019 News!Good News! All papers from Volume 9, Number 3 have been indexed by Scopus!   [Click]
  • Jul 08, 2019 News!Vol.9, No.4 has been published with online version.   [Click]
Search
General Information
    • ISSN: 2010-3700 (Online)
    • Abbreviated Title: Int. J. Mach. Learn. Comput.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Scopus (since 2017), EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
    • E-mail: ijmlc@ejournal.net
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.

IJMLC 2019 Vol.9(4): 407-412 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2019.9.4.818

Personal Verification System Using ID Card and Face Photo

Adulwit Chinapas, Pattarawit Polpinit, Narong Intiruk, and Kanda Runapongsa Saikaew
Abstract—Generally, the process of verifying a person’s identification in a bank is accomplished by an officer comparing a photo in an ID card with the actual face of the person. This process is prone to mistake as officers usually need to serve several people in a short time. This article proposes the personal verification system using an ID card and face photo by applying face detection and face comparison. A system based on several open source libraries for face recognition including Dlib, Facenet, and ArcFace is implemented. The experimental analysis shows that the system based on ArcFace yields the highest accuracy at 99.06% for face detection and 96.09% for face comparison. ArcFace outperforms other methods because it not only uses MTCNN but also adjusts face image to be in a straight direction as well as fixes the positions of eyebrows, eyes nose, and mouth so that all images have similar references.

Index Terms—Face comparison, face detection.

Adulwit Chinapas, Pattarawit Polpinit, and Kanda Runapongsa Saikaew are with the Faculty of Engineering, Khon Kaen University, Thailand (Corresponding author; e-mail: krunapon@kku.ac.th).

[PDF]

Cite: Adulwit Chinapas, Pattarawit Polpinit, Narong Intiruk, and Kanda Runapongsa Saikaew, "Personal Verification System Using ID Card and Face Photo," International Journal of Machine Learning and Computing vol. 9, no. 4, pp. 407-412, 2019.

Copyright © 2019 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Copyright © 2008-2019. International Journal of Machine Learning and Computing. All rights reserved.
E-mail: ijmlc@ejournal.net