硕士生导师
个人信息Personal Information
学历：博士研究生毕业
学位：工学博士学位
办公地点：犀浦3号教学楼31529
毕业院校：四川大学
学科：电子信息. 软件工程. 计算机应用技术
所在单位：计算机与人工智能学院
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Region of interest extraction for finger vein images with less information losses
影响因子：2.577
DOI码：10.1007/s11042-016-4285-2
所属单位：西南交通大学
发表刊物：Multimedia Tools and Applications
关键字：Biometric recognition . Finger vein recognition . Region of interest . Finger vein image
摘要：Automatic finger vein recognition systems have attracted more attentions in recent years. In order to implement a high performance system, an important step is to localize the region of interest accurately. A problem in previous ROI localization methods is that some useful finger vein information is lost in the final cropped ROI region. In order to resolve this problem, a novel ROI extraction method for finger vein images is proposed in this paper. Finger edges are detected and adjusted to the horizontal direction, after that a modified sliding window is used in order to detect the distal inter-joint line of the finger. On the basis of the edges and the distal inter-phalangeal joint line of the finger, different from previous methods, an outer rectangle is used to crop the finger area to avoid the useful information loss. Based on our experimental dataset with 3132 finger vein images, the mean information loss rate for previous methods is 15.1% and there is no loss of information for our method. In order to evaluate the accuracy of our ROI extraction method, the similarity rate of intra-class is calculated, which is defined by the ratio of overlap area and the whole ROI area. And a mean similarity rate 96.3% is obtained in our experiments. Theoretical analysis and experimental results show that the proposed method is effective and accurate, and it is potentially beneficial for improving the performance of finger vein recognition system.
合写作者：Dongming Tang
第一作者：Mingwen Wang
论文类型：学术论文
通讯作者：Mingwen Wang
论文编号：20165203196233
学科门类：工学
一级学科：计算机科学与技术
卷号：76
页面范围：14937–14949
ISSN号：1380-7501
是否译文：否