生物特征数据隐藏:一种3因素身份验证方法,使用隐写,加密和匹配来验证单个图像的身份

Neha Agrawal, M. Savvides
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引用次数: 50

摘要

数字隐写术利用主机数据来隐藏信息,使人类观察者无法察觉。它的主要目标是不可感知性、鲁棒性和高负载。扩频隐写中的DCT域信息嵌入描述了一种利用DCT系数冗余的新方法。我们对DCT嵌入方法进行了改进,利用DCT系数的符号,在保持覆盖图像的视觉不可感知性的同时,提高了检索数据的准确性和对信道噪声、JPEG压缩伪像等信道攻击的鲁棒性,甚至进一步扩展了该方法以获得更高的有效载荷。我们还将这种方法应用于生物特征数据的安全隐藏、传输和恢复。我们将虹膜码模板和指纹隐藏在宿主图像中,宿主图像可以是任意的图像,如人脸生物识别模态,并将形成的不易察觉的隐写图像安全、稳健地传输进行认证,在接收端不知道封面图像的情况下,实现虹膜码的完美重建、分类和指纹的检索,即一种盲隐写方法。在这种情况下,它被用来隐藏另一种生物识别模式的生物识别模板。
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Biometric data hiding: A 3 factor authentication approach to verify identity with a single image using steganography, encryption and matching
Digital Steganography exploits the use of host data to hide a piece of information in such a way that it is imperceptible to a human observer. Its main objectives are imperceptibility, robustness and high payload. DCT Domain message embedding in Spread Spectrum Steganography describes a novel method of using redundancy in DCT coefficients. We improved upon the method of DCT embedding by using the sign of the DCT coefficients to get better accuracy of retrieved data and more robustness under channel attacks like channel noise and JPEG compression artifacts while maintaining the visual imperceptibility of cover image, and even extending the method further to obtain higher payloads. We also apply this method for secure biometric data hiding, transmission and recovery. We hide iris code templates and fingerprints in the host image which can be any arbitrary image, such as face biometric modality and transmit the so formed imperceptible Stego-Image securely and robustly for authentication, and yet obtain perfect reconstruction and classification of iris codes and retrieval of fingerprints at the receiving end without any knowledge of the cover image i.e. a blind method of steganography, which in this case is used to hide biometric template in another biometric modality.
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