Fingerprint recognition and verification are always the key issues in intelligent technology and information security. For a considerable fraction of population, the representation based on complete detection of ridge structures in the fingerprint is difficult to be accomplished. The main challenge is partial loss of the ridge structures. In this work, we developed a geometrically based method for fingerprint recognition and verification tasks; a set of partial local features extracted from fingerprint ridges, minutia, and pores attributes are used. The proposed system passes through two main...