Vein matching using artificial neural network in vein authentication systems

Azadeh Noori Hoshyar, Riza Sulaiman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Personal identification technology as security systems is developing rapidly. Traditional authentication modes like key; password; card are not safe enough because they could be stolen or easily forgotten. Biometric as developed technology has been applied to a wide range of systems. According to different researchers, vein biometric is a good candidate among other biometric traits such as fingerprint, hand geometry, voice, DNA and etc for authentication systems. Vein authentication systems can be designed by different methodologies. All the methodologies consist of matching stage which is too important for final verification of the system. Neural Network is an effective methodology for matching and recognizing individuals in authentication systems. Therefore, this paper explains and implements the Neural Network methodology for finger vein authentication system. Neural Network is trained in Matlab to match the vein features of authentication system. The Network simulation shows the quality of matching as 95% which is a good performance for authentication system matching.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume8285
DOIs
Publication statusPublished - 2011
EventInternational Conference on Graphic and Image Processing, ICGIP 2011 - Cairo
Duration: 1 Oct 20112 Oct 2011

Other

OtherInternational Conference on Graphic and Image Processing, ICGIP 2011
CityCairo
Period1/10/112/10/11

Fingerprint

Veins
veins
biometrics
Authentication
Artificial Neural Network
methodology
Neural networks
Biometrics
cards
Methodology
Neural Networks
deoxyribonucleic acid
Security systems
geometry
Network Simulation
Password
DNA
Fingerprint
MATLAB
simulation

Keywords

  • biometrics
  • neural network matching
  • vein authentication
  • vein identification
  • vein matching

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Noori Hoshyar, A., & Sulaiman, R. (2011). Vein matching using artificial neural network in vein authentication systems. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 8285). [82850Z] https://doi.org/10.1117/12.913380

Vein matching using artificial neural network in vein authentication systems. / Noori Hoshyar, Azadeh; Sulaiman, Riza.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8285 2011. 82850Z.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Noori Hoshyar, A & Sulaiman, R 2011, Vein matching using artificial neural network in vein authentication systems. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 8285, 82850Z, International Conference on Graphic and Image Processing, ICGIP 2011, Cairo, 1/10/11. https://doi.org/10.1117/12.913380
Noori Hoshyar A, Sulaiman R. Vein matching using artificial neural network in vein authentication systems. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8285. 2011. 82850Z https://doi.org/10.1117/12.913380
Noori Hoshyar, Azadeh ; Sulaiman, Riza. / Vein matching using artificial neural network in vein authentication systems. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8285 2011.
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