Fingerprint classification based on decision tree from singular points and orientation field
Rule-based fingerprint classification method is proposed. Singular points and the number of each type of point are adopted to distinguish fingerprints. Proposed Center-to-Delta Flow and Balance Arm Flow are catered for further classification. Extensive experimental results confirm that the technique is effective to classify fingerprints.
fingerprint fingerprint identification fingerprint singularity decision tree classifier fingerprint analysis