The objective of the work presented in this paper is threefold: (i) explore the use of discrete wavelets [9,23] transform, to extract face features known as “facial regions” and fingerprint features known as “minutiae types”. The ridgelets [24] transform will be also be investigated, (ii) introduce SHMMs to the biometric community as a strong model for these two physiological features, and (iii) determine the best fusion method of classifier combination for a person identification task.Fig.1depictsanimageoftheproposedbimodalbiometric system.