Human identification with Palm veins Pattern Based on Deep Learning and GRNN methods
Human identification with Palm veins Pattern Based on Deep Learning and GRNN methods
Pouya Gholami1 Amin Roohparvar2 Mohammad Hasan Olyaei Torqabeh3
1) Faculty of Electrical Engineering, Sadjad University of Technology, Mashhad, Iran -
2) Faculty of Electrical Engineering, Sadjad University of Technology, Mashhad, Iran -
3) Faculty of Electrical Engineering, Sadjad University of Technology, Mashhad, Iran -
Publication :
2nd International Conference on New Horizons in the Engineering Science 9th August 2018 / Istanbul Turkey / Yildiz Technical University(eng2018.ir)
Abstract :
In this paper Our Goal is find a method for Human Identification that is safe and noncheatable. Also we looked for a parameter of human body that is measurable, noncopy able and its hardware don t too much expensive. Our Solution is, the palm veins; that invariant along life time. Also because veins are hidden under skin and not visible and not available, hence non-copy able and non-cheatable. Our Device is simple, Inexpensive and small. We use the simple camera and filter for photography. Use Image processing for vein extraction and Deep Learning and GRNN methods to Distinguish persons with each other. Finally, we have completely achieved our goal. That is a cool, non-cheatable and Inexpensive device for identification.
Keywords :
Human Identification
palm veins
Image Processing
Deep Learning
GRNN