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Double watermarking-based biometric access control for radio frequency identification card

机译:基于双水印的射频识别卡生物识别访问控制

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摘要

The integration of data privacy and security into radio frequency identification (RFID) technology, particularly into RFID tags, has become one of the most attractive research areas. A crucial challenge in RFID technology research lies in providing an efficient protection for systems against information theft and illegitimate access. This article proposes a secure solution based on an RFID card for physical biometric access-control applications. This is done by integrating two biometric modalities, namely face and fingerprint which are secured via a double watermarking technique. The suggested approach is ensured by two levels of watermarking. At the first level, the wavelet packet decomposition watermarking algorithm is used to insert features from the fingerprint (minutiae) in the face image of an authorized person. At the second level, the same watermarking algorithm is employed to insert the fingerprint watermark in the face features extracted by Gabor filters from the previously watermarked face image (at the first level). The obtained secured watermarked biometric data are then integrated in a 1-kB high frequency proximity RFID card. This combination of both RFID technology and the double watermarking technique provides a biometric control access framework. Compared with the state-of-the-art frameworks, the proposed one ensures a good compromise between a reduced computational complexity and a high level of data security while maintaining a small space of storage and a low cost compared to those of the marketed products.
机译:将数据隐私和安全性集成到射频识别(RFID)技术中,尤其是集成到RFID标签中,已成为最有吸引力的研究领域之一。 RFID技术研究中的关键挑战在于为系统提供有效的保护,以防止信息被盗和非法访问。本文为物理生物特征访问控制应用提出了一种基于RFID卡的安全解决方案。这是通过整合两个生物特征识别方法来完成的,即面部表情和指纹识别,这是通过双重水印技术来确保的。建议的方法由两个级别的水印确保。在第一级,小波包分解水印算法用于将指纹(细节)中的特征插入授权人员的面部图像中。在第二级,采用相同的水印算法将指纹水印插入由Gabor过滤器从先前加水印的面部图像(在第一级)提取的面部特征中。然后将获得的安全水印生物特征数据集成到1-kB高频接近RFID卡中。 RFID技术和双水印技术的结合提供了生物识别控制访问框架。与最新的框架相比,所提出的框架确保在降低的计算复杂度和高水平的数据安全性之间取得良好的折衷,同时与市场上出售的产品相比,保持较小的存储空间和较低的成本。

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