基于有效点聚集度的指纹图像分级分割算法  

A Segmentation Algorithm for Fingerprint Image Classification Based on Aggregation of Efficient-point

作　　者：刘卫刚[1] 胡锡梅[1] 王福明[1] 陈晓军[1] 

机构地区：[1]中北大学现代教育技术与信息中心

出　　处：《可编程控制器与工厂自动化（PLC FA）》2011年第10期78-80,共3页Programmable controller & Factory Automation(PLC & FA)

摘　　要：在自动指纹识别系统中,指纹图像分割在指纹图像处理过程中有着非常重要的作用,精确的指纹图像分割可以加快后续处理速度,提高识别的准确性。在指纹图像特征的定义基础之上,本文介绍了一种基于有效点聚集度的指纹图像特征,并且用块聚集度的方法弥补其在处理指纹图像的椒盐噪声时的不足。最后介绍了利用有效点聚集度的指纹图像分级分割算法。In the system of automatic fingerprint identification,Fingerprint image classification has a very important role in fingerprint image preprocessing.Accurate fingerprint image segmentation can speed up processing speed,improve the recognition accuracy. With the definition of the Image features in accordance,Introduced an efficient pointbased aggregation of the fingerprint image features,And the block aggregation methods used to make up for in processing fingerprint images lack of salt and pepper noise.In the end,the use of effective aggregation point segmentation algorithm for fingerprint image classification.

关 键 词：有效点聚集度 椒盐噪声 块聚集度 指纹图像分级分割 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]