Minutiae Matching Algorithm Using Artificial Neural Network for Fingerprint Recognition

Hariyanto, S. Sudiro, S. Lukman
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引用次数: 10

Abstract

This article present a minutiae matching algorithm using hardware based artificial neural network intended to be implemented in embedded system environment. Hardware based artificial neural network CM1K consist of 1024 neuron in Cognistix device is used in this research. Fingerprint template as a vectors of minutiae points is used as an input to artificial neural network device. Matching process is based on the calculation of the distance from two vectors from two set of minutiae points comming from two fingerprints. Using hardware based of artificial neural network provide faster processing in matching process and the used of Cognistix making faster and easy in development of prototype.
基于人工神经网络的指纹识别细节匹配算法
本文提出了一种基于硬件的人工神经网络的精细匹配算法,并拟在嵌入式系统环境下实现。本研究采用了Cognistix设备中由1024个神经元组成的基于硬件的人工神经网络CM1K。将指纹模板作为特征点的向量作为神经网络的输入。匹配过程是基于计算来自两个指纹的两组细节点到两个向量的距离。采用基于人工神经网络的硬件,可以加快匹配过程的处理速度;采用Cognistix,可以使原型的开发更快捷、更容易。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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