Calibration method for finger vein identification device

Abstract

The invention discloses a calibration method for a finger vein identification device. The method comprises the steps of: acquiring at least one finger vein image of each of multiple persons in the current state by using the finger vein identification device; calculating a Gaussian distribution parameter of a sectional pixel gray value of the acquired finger vein image; calculating a gamma mapping coefficient of an infrared image sensor of the finger vein identification device according to the Gaussian distribution parameter of the sectional pixel gray value of the finger vein image; adjusting a pixel input value and pixel output value mapping relation acquired by the infrared image sensor in the current state according to the gamma mapping coefficient, thus identifying the adjusted pixel output value to obtain an identification result. The calibration method for the finger vein identification device can effectively reduce the influence of factors such as different regional climates, temperatures, illumination and the like on the identification success rate of the finger vein device.

Description

technical field [0001] The invention relates to the field of image acquisition, in particular to a calibration method for a finger vein recognition device. Background technique [0002] With the development of the times, personal information security is becoming more and more important. Choosing a reasonable authentication technology is a necessary factor to ensure information security. Traditional authentication technology is based on personal passwords, and the probability of passwords being cracked is getting higher and higher. Biometric authentication will become an important change in the information industry in the next few years. More and more individuals, consumers, companies and even government agencies admit that the existing identification systems based on smart cards, ID numbers and passwords are not enough , biometrics will play an important role in providing secure authentication in the future. [0003] Vein recognition technology achieves the purpose of aut...

AI Technical Summary

Problems solved by technology

[0004] The finger vein recognition device involves a series of contents such as light source, optical lens, and photosensitive chip. The application area of ​​the recognition device covers various regions in my country. The external climate and temperature will affect the luminous intensity of the near-infrared LED lamp of the device, and the light transmittance of the optical lens , at the same time, the external light will directly interfere with the light received by the photosensitive chip, thereby affecting the collected images, and ultimately lead to a reduction in the recognition success rate of the finger vein recognition device

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