Content-based Reversible Steganographic Method for Multimodal Biometrics
Ming Zhang · 2012
A novel dual reversible steganographic method based on content correlation analysis is proposed for enhancing the security of biometric information transmitted in the network.Different from the existing approaches,in order to make good use of abundant content of the cover image and improve the performance of data hiding,least square(LS) regression method was adopted to exploit the content correlation between the palm image and the face image firstly.In other words,the face image was used to represent the palm image,and the unrepresented part of the palm image was embedded into the corresponding face image.Besides,the reconstruction coefficients were taken as the secret key for security.Then,the stego-face image was hidden into a nature cover image by the same method for causing much less attention of attackers randomly.Finally,the stego-cover image containing palm information and face information were transmitted.The presented method realizes dual reversible data hiding for biometrics and its security is also employed with a hash function and a secret key.The proposed method exhibits good security,invisibility and high capacity.Specially,dual reversible data hiding further improves the security of transmitted biometric information and ensures the validity for multimodal biometric identification.