多光谱指纹生物识别

R. K. Rowe, K. A. Nixon, S. P. Corcoran
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引用次数: 54

摘要

介绍了一种将多光谱成像仪与传统光学指纹传感器相结合的新型指纹传感器。这种组合的目标是一个相对于标准技术具有更高可用性和安全性的指纹传感器。本研究中使用的传统传感器是基于全内反射率(TIR)的市售系统。它被修改以适应MSI传感器,这样当用户将他/她的手指放在传感器平台上时,MSI和TIR图像都能够被收集。对MSI数据进行预处理,增强指纹特征。然后将预处理后的MSI图像和TIR图像传递给商用指纹软件包进行细节检测和匹配。通过多人实验,测试了两种手指数据在典型办公环境下的相对性能特征。结果表明,大量质量差的指纹图像降低了TIR传感器的性能,这可能是由于在皮肤明显干燥的人身上采集的样本比例很大。相应的MSI数据没有显示出这种退化,并且产生了明显更好的结果。这两种方式的选择性组合显示出进一步提高性能的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multispectral fingerprint biometrics
A novel fingerprint sensor is described that combines a multispectral imager (MSI) with a conventional optical fingerprint sensor. The goal of this combination is a fingerprint sensor with improved usability and security relative to standard technology. The conventional sensor that was used in this research is a commercially available system based on total internal reflectance (TIR). It was modified to accommodate an MSI sensor in such a way that both MSI and TIR images are able to be collected when a user places his/her finger on the sensor platen. The MSI data were preprocessed to enhance fingerprint features. Both the preprocessed MSI images and the TIR images were then passed to a commercial fingerprint software package for minutiae detection and matching. A multiperson study was conducted to test the relative performance characteristics of the two types of finger data under typical office conditions. Results demonstrated that the TIR sensor performance was degraded by a large number of poor quality fingerprint images, likely due to a large percentage of samples taken on people with notably dry skin. The corresponding MSI data showed no such degradation and produced significantly better results. A selective combination of both modalities is shown to offer the potential of further performance improvements.
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