非远节指骨指纹生物特征匹配与融合系统
Biometric Matching and Fusion System for Fingerprints from Non-Distal Phalanges
摘要：
市场研究表明，指纹仍然是最流行的生物识别方式的个人身份验证。即使随着新模式的出现（例如静脉匹配），不同领域（电子身份证、银行、边境控制.）并且地理位置依赖于从远端趾骨（也称为，部分，手指）的人手结构。受影响人口的非平凡部分（这降低了相关的认证准确性）的质量差的远端指纹图像的问题的启发，我们设计并测试了一个多指，多指骨融合方案，该方案结合了源自非远端的细节点匹配分数（即，中间和近端）趾骨，基于（i）简单和融合，（ii）基于NFIQ图像质量的融合，和（iii）基于趾骨类型的融合。利用我们实验室收集的中等大小（50个人，400个独特的手指，1600个不同的图像）数据库，以及商业光学指纹传感器和商业细节提取器和匹配器（未经任何修改），使我们能够模拟真实世界的指纹认证设置。包括具有统计置信区间的ROC曲线的详细分析表明，所提出的系统可以是以下情况的可行替代方案：（i）远端指骨图像不可用（例如，由于缺失的手指或由于体力劳动导致的低质量手指表面），以及（ii）由于经济或基础设施限制而无法切换到新的生物识别模式（例如虹膜）。此外，我们表明，当远节指骨图像实际上是可用的，将它们与其他指骨的图像相结合，以及增加准确性。
英文摘要：
Market research indicates that fingerprints are still the most popular biometric modality for personal authentication. Even with the onset of new modalities (e.g. vein matching), many applications within different domains (e-ID, banking, border control...) and geographies rely on fingerprints obtained from the distal phalanges (a.k.a. sections, digits) of the human hand structure. Motivated by the problem of poor quality distal fingerprint images affecting a non-trivial portion of the population (which decreases associated authentication accuracy), we designed and tested a multifinger, multiphalanx fusion scheme, that combines minutiae matching scores originating from non-distal (ie. middle and proximal) phalanges based on (i) simple sum fusion, (ii) NFIQ image-quality-based fusion, and (iii) phalanx-type-based fusion. Utilizing a medium-size (50 individuals, 400 unique fingers, 1600 distinct images) database collected in our laboratory with a commercial optical fingerprint sensor, and a commercial minutiae extractor & matcher (without any modification), allowed us to simulate a real-world fingerprint authentication setting. Detailed analyses including ROC curves with statistical confidence intervals show that the proposed system can be a viable alternative for cases where (i) distal phalanx images are not usable (e.g. due to missing digits, or low quality finger surface due to manual labor), and (ii) switching to a new biometric modality (e.g. iris) is not possible due to economical or infrastructure limits. Further, we show that when distal phalanx images are in fact usable, combining them with images from other phalanges increases accuracy as well.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
