As many approaches and algorithms for biometric recognition techniques have been developed and proposed in the literature in details, the relationships among biometric features have not been studied yet. This study presents an analysis of existence of any relationship among biometric features like fingerprints and faces. A new and novel approach based on artificial neural networks was designed and introduced to generate faces from fingerprint images. Experimental results have shown that faces were recognised with high accuracy from only fingerprints. Although the proposed system was an initial work on this topic, the results were very encouraging and promising for the future studies even if any post-processing was not applied.