07Jul 2019

DIGITAL SIGNATURE METHODS BASED BIOMETRICS.

  • Computer Sciences Department, University of Technology.Baghdad / Iraq.
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Digital signature is an encrypted communication method that documents and authenticates online transactions around the world and is used to authenticate user identity. The purpose of this paper is to inventory most of the existing techniques that previous researchers have found on the subject of signature verification based on most of the various human biometric features and compare these studies to achieve the best performance and best method of digital signature work in conjunction with biometric features. Through a review of literature and previous research and analysis and comparison, it was concluded that the digital signature based on eye movement tracking is very useful and efficient and fast and serves people with disabilities who cannot interact with the computer naturally and help them to authenticate their identities.


  1. Roman, K. Tomi, M. Andrei and F.Pasi : Eye-Movements as a Biometric, H. Kalviainen: SCIA, LNCS 3540, pp. 780-789, Springer-Verlag Berlin Heidelberg 2005.
  2. Carlos, L.Francisco and F. Rogelio: Biometric authentication based on eye movements by using scan-path comparison algorithms, Quintana-Nev?arez is a undergraduate student of the Software Engineering programmer at UACJ.2017
  3. Youmingand J.Martti: On Biometrics with Eye Movements IEEE Journal of Biomedical and HealthInformatics, vol. 21, no.5, pp.1360-13662017.
  4. Srikanta, P.Umapada and B.Michael:Signature-based Biometric Authentication,School of Information and Communication Technology,Griffith University, Gold Coast, Australia.2CVPRU, Indian Statistical Institute, Kolkata, India S Pal,?U Pal,?M Blumenstein- Computational Intelligence in Digital..,Springer2014.
  5. Justin, M. Kenrickand H.Bogdan:Gaze-Based Password Authentication throughAutomatic Clustering of Gaze Points,2011.
  6. Bruneau, Daniel, M. Angela Sasse, and J. D. McCarthy. \"The eyes never lie: The use of eye tracking data in HCI research.\" Proceedings of the CHI. Vol. 2. 2002.
  7. Andreasand P. R?ejean:Signature Verification Based on the KinematicTheory of Rapid Human Movements, This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination, 2016.
  8. Yousef, M.Keivan, N. A Motie and Sh.M.Mohammad: A new method for signature verification based on physiological characteristics of hand muscles and tendons.Biomedical Engineering: Applications, Basis and Communications, Vol. 29, No. 1 1750006 (8 pages) 2017.
  9. Alexander, D.Martin and H.Heinrich: Look into my eyes! Can you guess my password ?Symposium on Usable Privacy and Security (SOUPS), CA USA. July 15?17, 2009.
  10. K.Kunal,B.K.KiranandJ.Sunita: A Novel Approach to Help People Interact with Their SurroundingThrough Their Eyes, IEEE 18th International Conference on Advanced Learning Technologies 2018.
  11. Shaimaa,A. Eqbasand A.IsraaAhmed :Security Systems Based On Eye Movement Tracking Methods, Journal of AL-Qadisiyah for computer science and mathematics, ISSN (Print): 2074 ? 0204 ISSN (Online): 2521 ? 3504, Vol.10 No.3 Year 2018.
 

[Shaimaa h. Shaker And ArwaS.Ridha. (2019); DIGITAL SIGNATURE METHODS BASED BIOMETRICS. Int. J. of Adv. Res. 7 (Jul). 709-718] (ISSN 2320-5407). www.journalijar.com


SHAIMAA H. SHAKER
Computer Sciences Department, University of Technology Baghdad / Iraq

DOI:


Article DOI: 10.21474/IJAR01/9415      
DOI URL: https://dx.doi.org/10.21474/IJAR01/9415