Human identification with Palm veins Pattern Based on Deep Learning and GRNN methods
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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ENGCONF01_107
تاریخ نمایه سازی: 13 مهر 1397
Abstract:
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
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Authors
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