A Novel Approach for Fingerprint Singularities Detection

Fingerprints are an important biometric trait, being the most widely deployed biometric characteristic. Singularities detection represent an important step in fingerprint recognition due to plenty of comparisons required to identify a person, especially in large datasets. In this work, we propose a novel technique for fingerprint singularities detection. The input image is preprocessed and our singularity detection technique takes advantages of new ridge patterns found in the orientation image. We achieved a singularities detection rate of 93.42%.