Abstract: A method and system of recognizing a face image comprising a plurality of processing nodes. Nodes obtain parts of the face image and extract features of the obtained part thereby generating a feature template. Nodes compare the feature template with stored subject templates and calculate an initial similarity score in respect of each comparison, thereby generating an initial score vector associated with a plurality of subjects. Nodes average the initial similarity score vectors generated by it and by at least two predefined nodes, giving rise to an intermediate score vector. The intermediate score vector is repeatedly averaged until a convergence condition is met, thereby generating a final score vector. A node associates the face image to the subject corresponding to the highest score in the final score vector thereby recognizing the face image.