Biometric person recognition for secure access to restricted data/services using a mobile phone with Inter/Intra connection. In this study, an application that allows a mobile phone to be used as a biometric-capture device is shown. A lot of remote services are accessible via web (e.g., e-banking, e-commerce, e-mail, etc.). Only a web browser and internet connection are needed, the main contribution of our proposal is that this capture, and later recognition, can be performed during a standard web session, using the same architecture that is used in a personal computer (PC), thus allowing a multiplatform (PC, personal digital assistant (PDA), mobile phone, etc.) biometric web access. Our approach essentially was to implement and verify the algorithm Eigen faces for Recognition Maximum Likelihood which solves the recognition problem for 2-D image of faces, using the principal component analysis. The scheme is based on an information theory approach that decomposes face images into a small set of characteristic feature images called ‘eigenfaces’, which are actually the Regularization Block Based Principle Component Analysis(RBPCA) of the initial training set of face images. The review, which is from both an academic and commercial point of view, of the biometry and mobile device state of the art shows that in other related works, the biometric capture and recognition is either performed globally in the mobile(remotely) by using special communication protocols and/or connection ports with the server.