Fusion of Band Limited Phase Only Correlation and Width Centroid Contour Distance for finger based biometrics
Fusion of Band Limited Phase Only Correlation and Width Centroid Contour Distance for finger based biometrics
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DOI：
10.1016/j.eswa.2013.11.033
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发表时间：
2014-06-01
影响因子：
8.5
通讯作者：
Rosdi, Bakhtiar Affendi
中科院分区：
文献类型：
--
作者：
Asaari, Mohd Shahrinie Mohd;Suandi, Shahrel A.;Rosdi, Bakhtiar Affendi
提出了一种融合手指静脉和手指几何形状识别的多模态手指生物特征识别方法。在所提出的方法中，带限相位相关（BLPOC）被用来衡量手指静脉图像的相似性。与以前的方法不同，BLPOC对噪声，遮挡和重新缩放因素具有弹性，从而可以提高手指静脉识别的性能。在手指几何形状识别方面，提出了一种新的几何特征--宽度-形心轮廓距离（WCCD）。该WCCD将手指宽度与质心轮廓距离（CCD）相结合。与单一类型特征相比，W和CCD的融合可以提高手指几何形状识别的准确性。最后，我们整合手指静脉和手指几何形状的描述的分数级融合方法的基础上加权SUM规则。使用我们自己的数据库进行实验评估，该数据库从123名志愿者中收集，结果是有效的识别性能，其中等错误率（EER）为1.78%，总处理时间为24.22 ms。（C）2013 Elsevier Ltd.保留所有权利。
In this paper, a new approach of multimodal finger biometrics based on the fusion of finger vein and finger geometry recognition is presented. In the proposed method, Band Limited Phase Only Correlation (BLPOC) is utilized to measure the similarity of finger vein images. Unlike previous methods, BLPOC is resilient to noise, occlusions and rescaling factors; thus can enhance the performance of finger vein recognition. As for finger geometry recognition, a new type of geometrical features called Width-Centroid Contour Distance (WCCD) is proposed. This WCCD combines the finger width with Centroid Contour Distance (CCD). As compared with the single type of feature, the fusion of W and CCD can improve the accuracy of finger geometry recognition. Finally, we integrate the finger vein and finger geometry recognitions by a score-level fusion method based on the weighted SUM rule. Experimental evaluation using our own database which was collected from 123 volunteers resulted in an efficient recognition performance where the equal error rate (EER) was 1.78% with a total processing time of 24.22 ms. (C) 2013 Elsevier Ltd. All rights reserved.