Human identification with Palm veins Pattern Based on Deep Learning and GRNN methods
عنوان مقاله: Human identification with Palm veins Pattern Based on Deep Learning and GRNN methods
شناسه ملی مقاله: ENGCONF01_107
منتشر شده در کنفرانس بین المللی افق های نو در علوم مهندسی در سال 1396
شناسه ملی مقاله: ENGCONF01_107
منتشر شده در کنفرانس بین المللی افق های نو در علوم مهندسی در سال 1396
مشخصات نویسندگان مقاله:
pouya gholami - Faculty of Electrical Engineering, Sadjad University of Technology, Mashhad, Iran
amin roohparvar - Faculty of Electrical Engineering, Sadjad University of Technology, Mashhad, Iran
mohammad hasan Olyaei Torqabeh - Faculty of Electrical Engineering, Sadjad University of Technology, Mashhad, Iran
خلاصه مقاله:
pouya gholami - Faculty of Electrical Engineering, Sadjad University of Technology, Mashhad, Iran
amin roohparvar - Faculty of Electrical Engineering, Sadjad University of Technology, Mashhad, Iran
mohammad hasan Olyaei Torqabeh - Faculty of Electrical Engineering, Sadjad University of Technology, Mashhad, Iran
In this paper Our Goal is find a method for Human Identification that is safe and non-cheatable. Also we looked for a parameter of human body that is measurable, non-copy 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
کلمات کلیدی: Human Identification, palm veins, Image Processing, Deep Learning, GRNN
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/781268/