Finger Vein Recognition Using Minutia-Based Alignment and Local Binary Pattern-Based Feature Extraction
Finger Vein Recognition Using Minutia-Based Alignment and Local Binary Pattern-Based Feature Extraction
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DOI：
10.1002/ima.20193
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发表时间：
2009-01-01
影响因子：
3.3
通讯作者：
Park, Kang Ryoung
中科院分区：
文献类型：
--
作者：
Lee, Eui Chul;Lee, Hyeon Chang;Park, Kang Ryoung
随着最近安全要求的提高，指纹、人脸和虹膜等生物特征已被广泛应用于许多识别应用中，包括门禁控制、计算机个人身份验证、网上银行、自动柜员机和边境管制。手指静脉识别使用手指静脉的独特模式来高精度地识别个体。提出了一种基于细节点对齐和基于局部二值模式(LBP)特征提取的手指静脉识别新方法。与前人的研究相比，我们的研究有三个创新之处。首先，我们使用手指静脉区域的分叉点和终点等细节点进行图像对齐。其次，我们不使用整个手指静脉区域，而是使用几个提取的细节点和一个简单的仿射变换进行比对，计算速度很快。第三，在基于细节点的手指静脉图像对齐后，利用LBP提取唯一的手指静脉编码，大大降低了误拒识误差，从而显著降低了等错误率。在总处理时间为118.6毫秒的情况下，最终的EER为0.081%。(C)2009年威利期刊公司INT J成像系统技术，19,179-186,2009；在线发表在威利国际科学(www.intercience.wiley.com)上。DOI 10.1002/ima.20193
With recent increases in security requirements, biometrics such as fingerprints, faces, and irises have been widely used in many recognition applications including door access control, personal authentication for computers, Internet banking, automatic teller machines, and border-crossing controls. Finger vein recognition uses the unique patterns of finger veins to identify individuals at a high level of accuracy. This article proposes a new finger vein recognition method using minutia-based alignment and local binary pattern (LBP)-based feature extraction. Our study makes three novelties compared to previous works. First, we use minutia points such as bifurcation and ending points of the finger vein region for image alignment. Second, instead of using the whole finger vein region, we use several extracted minutia points and a simple affine transform for alignment, which can be performed at fast computational speed. Third, after aligning the finger vein image based on minutia points, we extract a unique finger vein code using a LBP, which reduces false rejection error and thus the equal error rate (EER) significantly. Our resulting EER was 0.081% with a total processing time of 118.6 ms. (C) 2009 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 19, 179-186, 2009; Published online in Wiley Interscience (www.interscience.wiley.com). DOI 10.1002/ima.20193