摘要
本文介绍了一个基于两种傅氏变换进行图像增强,用概率神经网络进行指纹分类的指纹自动分类系统,又称AFCS(Automatic Fingerprint Classification System)。该系统运用了一种新的图像增强方法及不均匀的特征表示方法,用PNN(Probabilistic Neural Network)进行分类,实现了指纹的自动分类。
We introduce an automatic fingerprint classification system, where filters are based on two types of Fourier Transform(FT)for enhancing fingerprint images, and a probabilistic neural network classifier is used. We give a new image enhancement method and unequal feature vectors express in this system, and realize automatic fingerprint classification.
出处
《计算机应用与软件》
CSCD
2000年第3期33-38,55,共7页
Computer Applications and Software
关键词
指纹识别
傅氏变换
神经网络
指纹自动分类
Fingerprint Identification FT PNN Feature Extract Fingerprint Database