A Novel Method for Iris Recognition Using BP Neural Network and Parallel Computing
سال انتشار: 1395
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 387
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شناسه ملی سند علمی:
JR_ACSIJ-5-2_001
تاریخ نمایه سازی: 19 آبان 1397
چکیده مقاله:
In this paper, we seek a new method in designing an iris recognition system. In this method, first the Haar wavelet features are extracted from iris images. The advantage of using these features is the high-speed extraction, as well as being unique to each iris. Then the back propagation neural network (BPNN) is used as a classifier. In this system, the BPNN parallel algorithms and their implementation on GPUs have been used by the aid of CUDA in order to speed up the learning process. Finally, the system performance and the speeding outcomes in a way that this algorithm is done in series are presented
کلیدواژه ها:
Iris recognition system ، Haar wavelet ، Graphics Processing Units (GPUs) ، neural network BP ، CUDA
نویسندگان
s Askari
Department of Computer, College of Science, Islamic Azad University , Ashtian Branch, Ashtian , Iran
H. R. Sahebi
Department of Mathematics, Islamic Azad University, Ashtian Branch, Ashtian , Iran