A Secure Hiding Scheme for Tamper-Proofing and Authentication of Color Biometric Templates

With the rapid growth of the biometric-based identification and authentication systems, establishing the integrity and authenticity of biometric data has become a serious research issue. Information hiding has emerged as an efficient way to secure the biometric data during transmission in web-based applications. In this paper, a content authentication and tamper-proofing system is presented to localize and correct the corrupted area in color biometric data. Information hiding based on sparsity theory is utilized to hide a copy of the luminance component of the color biometric image. The proposed scheme has been evaluated using Georgia Technology face database, and the results have demonstrated the reliability and efficiency of the proposed scheme in identifying and restoring the tampered area, even when the biometric image is seriously corrupted.