Low-resolution multi-spectral palm print and palm vein real-time identity recognition method and system

Abstract

The invention discloses a low-resolution multi-spectral palm print and palm vein real-time identity recognition method and system. Palm images are collected by the system under the condition of five spectrums, and complementarity of multi-spectrum image information is fully utilized to improve the system recognition rate; meanwhile, palm vein information is collected under the condition of near infrared spectrums so that the system can have the living body detection ability and the counterfeit attack preventing ability of the system can be improved; characteristic extraction speed and other postprocessing speed are improved through the down sampling technology based on bicubic interpolation, and storage space of a characteristic template is saved; characteristic extraction is carried out through a multi-scale multi-directional filter, the influence of lighting changes on characteristic extraction is reduced, and the robustness of the system is improved; a characteristic matrix is coded through a hash table, and system matching speed is further improved; the recognition rate of the system is further improved through the unique fraction-level multi-spectral characteristic fusion method. The system has the advantages of being high in resolution ratio, high in recognition speed, good in stability and expansibility, resistant to counterfeit attack and the like.

Description

technical field [0001] The invention relates to the technical field of biological feature identification, in particular to a low-resolution multispectral palmprint and palm vein real-time identification method and system. Background technique [0002] Identification is an important part of human industrial production, commercial activities and daily life. Currently commonly used identification methods include traditional methods such as keys, smart cards, and passwords. Keys and smart cards have a high degree of recognition, but are easy to lose and copy; passwords are easy to use but easy to forget and crack. Traditional identification methods cannot meet the needs of human production and life. Therefore, biometric identification methods have emerged as the times require. [0003] Biometric identification refers to the technology that computers use human physiological or behavioral characteristics for personal identification. At present, the biometric methods researched ...

AI Technical Summary

Problems solved by technology

The main problem of fingerprint identification method is: fingerprint is the outer layer feature of the body, easy to copy forgery, damage

The imaging resolution of the existing multi-spectral identification system is generally greater than 300DPI, that is, it has a high-resolution image, but the feature extraction of the high-resolution image cannot meet the real-time requirements of the system

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