手指双模态特征图像感兴趣区域稳定定位方法研究  

Reliably Locating ROIs of Dual-Modal Biometric Images of Human Fingers

作　　者：杨金锋[1] 石滨萌 Yang Jinfeng;Shi Binmeng(Tianjin Key Lab for Advanced Signal Processing,Civil Aviation University of China,Tianjin 300300,China)

机构地区：[1]中国民航大学天津市智能信号与图像处理重点实验室

出　　处：《信号处理》2019年第7期1191-1200,共10页Journal of Signal Processing

基　　金：国家自然科学基金(61379102,61502498,U1433120)

摘　　要：为了改善指静脉成像质量和稳定获取指静脉、指节纹的感兴趣区域(ROI),本文提出了一种新的手指双模态成像系统及指静脉、指节纹ROI定位方法。首先,设计了一种含有多光谱、多亮度等级光源的手指拱起成像模型,该模型可较好改善指静脉的成像质量。然后,利用手指拱起产生的拐点实现对指节纹感兴趣区域的稳定定位,并利用双目摄像头下指静脉和指节纹成像区域之间的位置关系确定指静脉特征的感兴趣区域。实验结果表明本文所提出的方法能够较好提高指静脉血管的成像质量和指静脉、指节纹感兴趣区域的定位精度。In order to improve the quality of finger-vein imaging and the accuracy of locating the regions of interest(ROIs)in finger-vein(FV)images and finger-knuckle-print(FKP)images,a new dual-modal finger imaging system and a new ROI localization method are both proposed in this paper.First,we design a finger arch imaging model with multi-spectrum and multi-intensity lights.This proposed model can reliably improve the quality of finger-vein images.Then,the inflection points of finger arches are used for finger-knuckle-print ROI localization.Based on the spatial relationship between two imaging spaces of a binocular camera,the coordinates of FKP ROIs are mapped into the FV imaging space for delineating FV ROIs.Experimental results show that the proposed methods are more desirable in dual-mode finger imaging and FV-FKP ROI extraction.

关 键 词：指静脉 指节纹 成像方式 感兴趣区域定位 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]