Fingerprint identification method

Abstract

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.

Description

technical field [0001] The invention belongs to the technical field of fingerprint identification, in particular to a fingerprint identification method. Background technique [0002] People's survival and life in the network society are inseparable from identification and authentication, especially in the digital age of the 21st century, people often have cards in their pockets and passwords in their heads. Traditional identification and authentication methods are based on identification items (such as magnetic cards, certificates, etc.) and identification knowledge (such as user names and passwords, etc.). However, traditional identity authentication methods have many disadvantages: identification items are easy to be lost, stolen, forged, and fraudulently used, and identity information is easy to remember, forget, attack, and leak. These shortcomings have brought a lot of inconvenience and a lot of security problems to people's life. Therefore, it is necessary to find a ...

AI Technical Summary

Problems solved by technology

However, there are many disadvantages in the traditional identity authentication method: identity identification items are easy to be lost, stolen, forged, and fraudulently used, etc., and identity information is easy to remember, forget, attack, and leak.

For deformed fingerprints, the existing matching methods are robust to a certain extent, but the amount of deformation allowed is very limited. For images with large deformations, these methods cannot match

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