Fingerprint Authentication Using Multi-Layer Perceptron Neural Network
- سال انتشار: 1396
- محل انتشار: دومین کنفرانس ملی محاسبات نرم
- کد COI اختصاصی: CSCG02_029
- زبان مقاله: انگلیسی
- تعداد مشاهده: 538
نویسندگان
Master Student of Computer Networks Department of Information and Communications Technology Imam Hossein University Tehran, Iran
Master Student of Computer Networks Department of Information and Communications Technology Imam Hossein University Tehran, Iran
Associate Professor of Computer Engineering Group Department of Information and Communications Technology Imam Hossein University Tehran, Iran
چکیده
Security has been an important issue and concern in the information systems. There is possibility that illegal access to some restricted data or devices may happen. Authentication of users is the key factor in the security of information systems. User authentication mostly based on PIN, password, smart card or biometrics. Recently biometrics based authentication like fingerprint is widely used to identify legitimate users. Biometrics authentication has an advantage over other methods in that it is based on something you are, which is not easily forgotten, copied or stolen. In this article, Multi-Layer Perceptron (MLP) neural network is trained with back-propagation (BP) algorithm to build the trained MLP neural network as matcher module. A feature extractor finds minutia features such as ridge end and bifurcation, from the input fingerprint images. The digital values (sum of coordinates) of these features are applied to input of the neural network for training purpose. For user authentication, the verification part of the system identifies the fingerprint based training performance of the network. Our proposed method is useful in solving the security problems that occurred in other fingerprint authentication systems, such as systems using the verification tableکلیدواژه ها
Authentication, biometric, fingerprint, Neural Network, MLPمقالات مرتبط جدید
اطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.