首页> 外文会议>Advances in computer science and information technology >An Effective Video Steganography Method for Biometric Identification
【24h】

An Effective Video Steganography Method for Biometric Identification

机译:一种有效的用于生物识别的视频隐写方法

获取原文
获取原文并翻译 | 示例

摘要

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:本文提出了一种有效的视频隐写方法,可以保护传输的生物特征数据,以确保个人身份安全。与大多数现有的生物统计数据隐藏方法不同,此工作中的隐藏内容是用于保证有效标识的图像集,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,考虑了帧间和帧内运动信息,以使隐藏方法更加不可见且更健壮。代替冗余地嵌入数据以抵抗攻击,生物特征图像集使用离散小波变换(DWT)离散地嵌入到视频序列中。特别地,将每个帧的序列号作为水印嵌入到相应的帧中,以检测隐秘视频的完整性并确保精确提取生物特征图像集。最后,提取的图像集由生物识别系统识别。大量的实验结果表明,所提出的方法可以实现完美的感知能力和良好的鲁棒性,并保证了安全的生物特征识别。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号