基于人眼视觉系统的指纹水印图像自适应嵌入算法

Adaptive Embedding Algorithm Based on HVS forFingerprint Hiding

为了保证指纹信息在网络上传输的安全性和完整性,基于小波变换多尺度分解原理以及人眼对频率、纹理和对比度的视觉特性,提出新的临界可见误差模型.用该模型可使指纹特征信息生成的数字水印自适应嵌入合成的指纹图像中,提高了指纹认证系统的可信度.实验证明,该方法不但保证了不可见性,而且对多种图像处理操作具有较高的鲁棒性.

In order to ensure the security and integrity of the authenticated user's fingerprint data transmitted via Web and increasing the credibility of the automatic fingerprint identification system (AFIS), an adaptive embedding algorithm is introduced that can hide the fingerprint minutiae data in a synthetic fingerprint image. Based on characteristics of human visual system (HVS), including texture/contract masking property and sensitivity of frequency, and combining with wavelet multi-resolution theory, a novel just noticeable difference (JND)model that can embed watermark adaptively is proposed. Experiment results show this algorithm is invisible and has good robustness.