Singular Points Detection Using Interactive Mechanism In Fingerprint Images

Singular point is crucial for fingerprint identification. However, detection of the singular point is not always perfect. Up to now, there is no effective criterion to validate the singular point detected. This paper introduces a new interactive mechanism to detect and validate a singular point. The method comprises two stages: 1. the candidate singular point is located using the complex symmetrical filters. The magnitude of the candidate singular point represents the singularity information; 2. For each detected singular point, a model-based method is used to reconstruct the orientation near the candidate point. The reconstructed orientation is used to represent its orientation information. By combining both singularities and computing the difference between the reconstructed orientation and the original orientation, the candidate singular point can be validated. Experimental results show that this method can detect the singular point even with partially corrupted orientation pattern and remove falsely detected singular points