Secure face biometric verification in the randomized Radon space

Biometrics has become a strong candidate to replace traditional authentication systems however biometric data in itself is vulnerable and requires protection. This paper presents a new method to protect face biometric data using one-way transformation in which original face images cannot be retrieved. The secure and reissueable templates are generated by utilizing the Radon transformed signatures of the face biometric and a multi-space random projection. Using an image-based statistical algorithm, authentication is conducted on the transformed templates without the need to reverse them back. Genuine and impostor distributions separation was also improved by 13.82% leading to a 41.35% reduction in the equal error rate.