Fingerprint classification based on decision tree from singular points and orientation field

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Fingerprint,Fingerprint identification,Fingerprint singularity,Decision tree classifier,Fingerprint analysis

论文评审过程：Available online 19 August 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.07.099