This paper concerns algorithms related to analysis of fingerprint images in area of minutiae matching. Proposed solutions make use of information about minutiae detected from a fingerprint as well as information about main first order singularities. The use of first order singularities as a reference point makes algorithm of minutiae matching more efficient and faster in execution. Proposed algorithms concern efficient detection of main singularity in a fingerprint as well as optimization of minutiae matching in polar coordinates using main singularity as a reference point. Minutiae matching algorithm is based on string matching using Levenstein distance. Detection of first order singularities is optimized using Poincare's index and analysis of directional image of a fingerprint. Proposed solutions showed to be efficient and fast in practical use. Implemented algorithms were tested on previously prepared fingerprint datasets.
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