基于蚁群算法的指纹匹配研究  

Fingerprint Matching Based on ant Colony Algorithm

作　　者：胡朝锋[1] 王小平[1] 

机构地区：[1]五邑大学信息工程学院,广东江门529020

出　　处：《软件导刊》2012年第5期27-29,共3页Software Guide

摘　　要：指纹图像匹配是指纹识别技术中的一个重要环节,误识率和拒识率是指纹自动识别技术中非常重要的性能指标,蚁群算法在组合优化领域得到了很好的应用。将其引入到指纹匹配中,为解决蚁群算法中速度较慢、容易陷入局部最优点的缺陷,引入模拟退火算法对其进行了改进。fingerprint image matching is the fingerprint recognition technology is an important link,error rate and rejection rate is the automatic fingerprint identification technology is a very important performance index,the ant colony algorithm in the field of combinatorial optimization has a very good application,this paper introduced into the fingerprint matching,in order to solve the ant colony algorithm speed comparison and it is easy to fall into local optimum defects,this paper introduces simulated annealing algorithm makes the improvement to it.

关 键 词：指纹识别 指纹细化 模板匹配 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]