一种新的掌纹图像感兴趣区域提取算法  

Novel algorithm for Region of Interest(ROI)extraction of palmprint images

作　　者：张磊[1] 冯贵玉[1] 胡德文[1] 

机构地区：[1]国防科技大学机电工程与自动化学院,长沙410073

出　　处：《计算机工程与应用》2007年第8期40-42,61,共4页Computer Engineering and Applications

基　　金：国家杰出青年基金(the National Science Fund of China for Distinguished Young Scholar under Grant No.60225015);高等院校博士学科点专项科研基金(the China Specialized Research Fund for the Doctoral Program of Higher Education under Grant No.20049998012)

摘　　要：重点研究具有一定自由度在线掌纹图像的感兴趣区域提取算法。首先结合掌纹图像的特点采用全局阈值二值化掌纹图像,然后利用形态学算子平滑掌纹轮廓,提取轮廓线Freeman链码并对链码进行角度变换,最后通过考察轮廓线上各点附近轮廓线的角度变化来提取掌纹图像感兴趣所需要的定位点,从而提取感兴趣区域。感兴趣区域的提取为特征提取和特征匹配打下了基础。最后,在两个公开的掌纹数据库,通过实验证明了这种算法的有效性。This paper focuses on the Region of Interest（ROI） extraction of online palmprint images which involve transition and rotation.Firstly ,a threshold is used to make the palmprint image become a BW image.Then the contour line of the BW image is smoothed by morphology algorithmic rule.We extract Freeman chain code from the BW image and translate it into a function of angle.The key points are extracted by comparing the angle changes of the contour line of every neighborhood point.Finally the palmprint images are aligned according to the key points ,and thus the region of interest of the palmprint image can be extracted easily.This method provides a necessary preprocessing for further feature extraction and matching.The experimental results on two palmprint image databases demonstrate the effectiveness of the proposed method.

关 键 词：掌纹图像 定位点 轮廓线 形态学 感兴趣区域 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]