Palm Vein Authentication and Verification System

• Authors: M. Cömert , A. Yildiz
• Languages of publication: EN

Abstracts

EN

In this work, both hardware and software of a palm vein capture system have been designed and a prototype is produced. By using this system, a genuine database was created with age and gender information of volunteered test subjects. Widely used pre-processing, acquisition of feature vectors, and classification methods were tested on the database and results are compared with speed versus accuracy. All the modules used in hardware and software were determined as open source. Python has been chosen as a software module programming on a single board computer with Linux kernel. As a result, an appropriately running system has been built with both secure software and hardware interfaces having maximum accuracy at 95.33% while specificity is at 100%.

Keywords

EN

07.05.Pj; 42.30.Sy; 42.30.Tz

Discipline

• 42.30.Tz: Computer vision; robotic vision
• 07.05.Pj: Image processing(see also 42.30.Va in optics; 87.57.-s Medical imaging in biological and medical physics; 95.75.Tv Digitization techniques in astronomy)
• 42.30.Sy: Pattern recognition

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2016
• Volume: 130
• Issue: 1
• Pages: 175-177

Dates

published

2016-07

Contributors

author

M. Cömert

• Mersin University, Department of Electrical and Electronics Engineering, Mersin, Turkey

author

A. Yildiz

• Mersin University, Department of Electrical and Electronics Engineering, Mersin, Turkey

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Identifiers

DOI

10.12693/APhysPolA.130.175