Multi-resolution fuzzy approach for singularity detection in fingerprint images

This paper describes an approach for singularity (cores and deltas) detection on fingerprint images which uses fuzzy concepts and hierarchical structure. Singularity detection is usually performed of a discrete orientation matrix. Each of the elements of this matrix represents the dominant orientation on a given region. In this case, a fuzzy description of this orientation is defined. A very common method for singularity detection is the evaluation of the Poincare index on the orientation matrix. The fuzzy orientation is then naturally extended to the Poincare index. A multi-resolution description of the orientation matrix is developed and applied in a hierarchical way to estimate the location of singularities in fingerprint images. The method is illustrated on a database consisting of 310 fingerprints with mixed quality with application to fingerprint verification. The performance of this procedure is better than 98%.