Applications that requires true random number generator (TRNG), which uses raw analog data generated from any noise source in nature, must convert the source normal distribution to uniform distribution. Many up to date implementations convert the raw analog data into digital data by employing a comparator or a Schmitt trigger. This method wastes a large amount of random input data, lowering the throughput of the TRNG. In new national electronic identity card (eID) beyond the true identity of his bearer and to address the increasing concern of user privacy while doing business in Internet an additional pseudo profile is set. This pseudo profile uses 20-byte random value generated by database server, using a script during personalization process. In this paper, we present a novel algorithm that enables efficient distribution conversion in low power devices. The low memory requirements and efficient processing make it suitable for implementation low power cryptographic devices but also in complex personalization systems. Furthermore, we compare the random data generated by our efficient TRNG vs. those generated by database server.