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Effective Video Steganography Method for Biometric Identification

机译:生物识别识别的有效视频隐写方法

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This paper presents an effective video steganography method to protect the transmitted biometric data for secure personal identification. Unlike the most of existing biometric data hiding methods, the hiding content in this work is an image set for guaranteeing the valid identification, but not a single image or feature vector. On the basis of human visual system (HVS) model, both inter-frame and intra-frame motion information are considered to make the hiding method more invisible and robust. Instead of embedding the data redundantly for resisting attacks, the biometric image set is embedded into the video sequence discretely using discrete wavelet transform (DWT). Specially, the sequence number of each frame is embedded into the corresponding frame as a watermark for detecting the integrity of stego-video and guaranteeing the exactly extraction of the biometric image set. Finally, the extracted image set is identified by the biometrics system. Extensive experimental results demonstrate that the proposed method can achieve perfect imperceptibility and good robustness, and guarantee the secure biometrics.
机译:本文介绍了一种有效的视频隐图方法,可以保护传输的生物识别数据以进行安全个人识别。与现有的大多数生物识别数据隐藏方法不同,该工作中的隐藏内容是用于保证有效识别的图像集,而不是单个图像或特征向量。在人类视觉系统(HVS)模型的基础上,认为帧内帧内和帧内运动信息都被认为使隐藏方法更加不可见和稳健。使用离散小波变换(DWT)离散地嵌入到视频序列,而不是将数据冗余地嵌入数据。特别地,每个帧的序列号被嵌入到相应的帧中,作为用于检测STEGO视频的完整性的水印,并保证生物识别图像集的精确提取。最后,通过生物识别系统识别提取的图像集。广泛的实验结果表明,该方法可以实现完美的难以察觉和良好的鲁棒性,并保证安全生物识别技术。

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