基于蚁群算法的指纹匹配研究

Fingerprint Matching Based on ant Colony Algorithm

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.