摘要
近几年来,指纹识别技术发展迅速。由于指纹识别产品具有安全、方便的特点,越来越多的场合开始使用指纹识别产品。例如银行柜员管理、指纹门锁、指纹门禁、指纹考勤管理等。所有指纹产品的应用过程中,指纹判别是很重要的一个过程。指纹判别的目的就是令设备独立判别出指纹采集窗口是否已经出现合格的指纹图像,以便于采集指纹并送给后续步骤进行指纹图像的处理。由于受到手指指纹情况和环境因素造成的影响,指纹判别算法往往存在判断不准的情况。该文提出的基于邻域相关性进行指纹判别的方法从指纹本身的特性出发,考察了指纹局部特点,提高了指纹判别的准确度。
The fingerprint identification technology is developing fast in recent years.Fingerprint identification products have been used in more and more fields because of its feature of security and convenience.Such as cabinet employee system,fingerprint lock,fingerprint doorway system and fingerprint attendance system.For all fingerprint identification system,fingerprint detection is an important stage.The aim of fingerprint detection is judging the moment of regular fingerprint existence so as to prosecute following stages.Because of fingerprint image and environment factors,fingerprint judging algorithm always misjudges.This thesis proposed a method about neighborhood correlation.The method analyses the local texture of fingerprint so as to improve the accuracy.
作者
裴育
PEI Yu（Hangzhou Synochip Technologies co.,LTD,Hangzhou 310012,China）
出处
《电脑知识与技术》
2013年第4期2434-2437,共4页
Computer Knowledge and Technology
关键词
指纹判别算法
邻域相关性
fingerprint judging algorithm
neighborhood correlation
