Fingerprint Identification by Artificial Neural Network  

作　　者：Mustapha Boutahri Said El Yamani Samir Zeriouh Abdenabi Bouzid Ahmed Roukhe 

机构地区：[1]Optronic and Information Treatment Team, Atomic, Mechanical, Photonic and Energy Laboratory, Faculty of Science, Moulaylsmail University, B.P. 11201 Zitoune, Meknks, Morocco

出　　处：《Journal of Physical Science and Application》2014年第6期381-384,共4页物理科学与应用（英文版）

摘　　要：Biometric techniques require critical operations of digital processing for identification of individuals. In this context, this paper aims to develop a system for automatic processing of fingerprint identification by their minutiae using Artificial Neural Networks （ANN）, which reveals to be highly effective. The ANN method implemented is a based on Multi-Layer Perceptron （MLP） model, which utilizes the algorithm of retro-propagation of gradient during the learning process. In such a process, the mean square error generated represents the specific parameter for the identification phase by comparing a fingerprint taken from a crime scene with those of a reference database.

关 键 词：FINGERPRINT artificial neural network MINUTIAE IDENTIFICATION multi-layer perceptron back-propagation of the gradient. 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TP391.41[自动化与计算机技术—控制科学与工程]