A light source light intensity automatic control method for a finger vein recognition device

Abstract

The invention discloses a light source and light intensity automatic control method of a finger vein recognition device. The light source and light intensity automatic control method includes the steps that a processor sends initial signals to initialize the voltage of an infrared source; starting from the initial voltage signal V0, the processor sends a series of different voltage signals Vi which are arranged at a certain numerical value interval from small to large, an image capture device collects finger vein images when the voltage signals are sent one time, and the vein information abundant degree is quantized with numerical value Li respectively; the maximum values Lmax in quantized values Li of the vein information abundant degree is found, and the voltage signals VL corresponding to the maximum values Lmax are final voltages needed by the infrared sources for collecting the finger vein images. By means of the light source and light intensity automatic control method, according to the characteristics of the fingers of different collected persons, the luminance of the infrared sources in the finger vein recognition device is automatically adjusted, the vein information abundant degree of the finally-collected images is highest, the quality of the collected images is accordingly improved, and the recognition rate of the whole system is guaranteed.

Description

technical field [0001] The invention belongs to the field of biological feature identification, in particular to a method for automatically controlling the light intensity of a light source of a finger vein identification device. Background technique [0002] Compared with traditional security measures such as passwords and password cards, biometric recognition technology has biological characteristics that are inherent in the human body, and there will be no problems such as loss or forgetting. Therefore, biometric recognition has good application prospects in many fields. In recent years, biometric recognition technology has developed rapidly. Technologies such as fingerprint recognition, iris recognition, face recognition, and voice recognition have penetrated into people's daily lives, and even in military, financial, national security and other important pillar areas of the country. [0003] Finger vein recognition is a kind of biometric recognition. It uses the vein in...

AI Technical Summary

Problems solved by technology

[0007] 1. The processing algorithms involved are complex and computationally intensive, which affects the recognition efficiency of the system

[0008] 2. The existing adjustment methods are all adjusted based on the brightness information of the image, not based on the richness of vein information, so the adjustment results are not accurate enough

[0009] 3. Due to the different working principles, the adjustment method for transmissive identification equipment is not applicable to reflective equipment

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