非接触式掌纹采集的关键区域定位方法  

Methods for locating the critical region of non-contact palmprint collecting

作　　者：郭劲松[1] 卫武迪[1] 蒲婧[1] 

机构地区：[1]四川大学电气信息学院

出　　处：《微计算机信息》2008年第33期281-282,277,共3页Control & Automation

摘　　要：提出了在复杂的背景中非接触式地采集被验证者的手掌静态图像,并在图像中自动寻找掌纹的关键区域的有效手掌定位算法。使用模式矢量的聚类特性可以确定在不同干扰、旋转下的掌纹采集图像的关键点所在的坐标,进而达到无限制提取掌纹关键区域的良好效果。最终为为提取掌纹特征提供了坚实基础。Methods of effective regional location algorithm were proposed,in which a complex background was real to the non-contact collected static palm images, and by which devices can automatically find the key region to palm.The use of the cluster model of vector can identify the key points of the coordinations in different interference, rotating backgroud of palm prints collected and then it can proceed to pursue the good results of unrestrict extraction the key regional palmprint.Finally,a sub-image of the palmprint image was cut for further abstrscting of palmprint features.

关 键 词：非接触式 掌纹采集 关键区域 定位提取 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]