Enhancing iris-feature security with steganography

This paper introduces a novel steganography-based approach to protect the iris data by hiding it into a digital image for personal identification purpose. Logistic map is utilized for generating two pseudorandom sequences, one for encrypting the biometric data before hiding, and another for hiding position encryption. Meanwhile, JND (Just Noticeable Difference) model and JPEG quantization table are investigated for exploring an efficient hiding algorithm with high transparency and strong robustness especially for JPEG compression. The extraction of iris data does not require original image and provide high accuracy under different attacks. Experimental results show that this proposed method improves the security of the iris-feature with hardly detectable decrease in recognition performance.