基于超声成像的掌纹识别

A. Iula, Monica Micucci
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引用次数: 2

摘要

基于超声图像的生物特征识别系统已经研究了几十年,如今超声指纹传感器已经完全集成在便携式设备中。与其他技术相比,超声波的主要优势是可以收集3D图像,从而获得有关皮下特征的信息,从而提高识别精度和抗欺骗能力。此外,超声波图像对几种皮肤污染、湿度和不均匀的环境照明不敏感。最近提出了一种能够获取人类手掌三维图像的超声系统。在这项工作中,提出了一种基于该系统收集的2D掌纹图像的识别程序,并通过在来自24个用户的141个样本组成的自制数据库上进行验证实验来评估。最后重点讨论了该方法通过升级识别程序来提供能够考虑掌纹深度的三维模板的观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Palmprint recognition based on ultrasound imaging
Biometric recognition systems based on ultrasound images have been investigated for several decades, and nowadays ultrasonic fingerprint sensors are fully integrated in portable devices. Main advantage of the Ultrasound over other technologies are the possibility to collect 3D images, allowing to gain information on under-skin features, which improve recognition accuracy and resistance to spoofing. Also, ultrasound images are not sensible to several skin contaminations, humidity and not uniform ambient illumination. An ultrasound system, able to acquire 3D images of the human palm has been recently proposed. In this work, a recognition procedure based on 2D palmprint images collected with this system is proposed and evaluated through verification experiments carried out on a home made database composed of 141 samples collected from 24 users. Perspective of the proposed method by upgrading the recognition procedure to provide a 3D template able to accounts for palm lines’ depth are finally highlighted and discussed.
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