The invention discloses a
fingerprint identification method. A modified
fingerprint partitioning
algorithm is provided in order to overcome the defects of a
variance method used for carrying out
fingerprint partitioning, an appropriate
Log Gabor filter is built to achieve the reinforcement of a
fingerprint image, and finally a node relationship representation method under a curvilinear coordinate
system is provided. The modified fingerprint partitioning
algorithm is provided in order to overcome the defects of the
variance method used for carrying out fingerprint partitioning, and the fingerprint partitioning
algorithm makes full use of the advantages of a
simple algorithm and high calculation speed of the
variance method, overcomes the defect that the variance method is easily affected by
noise, and obtains a more accurate fingerprint portioning image. The appropriate
Log Gabor filter is built to achieve the reinforcement of the
fingerprint image, and the node relationship representation method under the curvilinear coordinate
system can be effectively matched with deformed fingerprints. The
system distinguishes the identification of each person by utilizing the characteristics such as uniqueness and forgery difficulty of the fingerprints, and has the advantages that allograph is avoided and paper is not used.