A Non-Invertible Secure Template Generation Using AES Encrypted MCC and Random Triangle Projection

The rapid growth of biometric authentication systems has heightened the need to address privacy and security concerns. The cancellable biometric template generation is one of the promising solutions in this situation which protects both the system and the user’s biometric data from unauthorized access ensuring non-invertibility, unlinkability, and secure template encryption. The random projection-based cancellable biometric template generation is one of the efficient techniques to secure the information of users. However, random projection-based approaches remain vulnerable to attacks where repeated projections may reconstruct the original template. This paper introduces MCC Encoded Random Triangle Hashing, which encodes the projection matrix using minutiae cylindrical codes to prevent template reconstruction in case of matrix leakage. The proposed method is evaluated on six publicly available fingerprint databases FVC2000 DB1, FVC2000 DB2, FVC2002 DB1, FVC2002 DB3, FVC2004 DB1, and FVC2004 DB3 using FMR, FAR, GAR, ROC, and EER metrics, demonstrating improved template security.