Fingerprint recognizer for automatic adjustment processing and its recognition method
A fingerprint reader and automatic adjustment technology, which is applied in the direction of acquiring/arranging fingerprints/palmprints, character and pattern recognition, instruments, etc., can solve the problems of multiple cost and large size of sensing elements, and achieve fast adjustment speed and good image quality , The effect of high image completion
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Embodiment 1
[0023] A fingerprint recognizer for automatic adjustment processing, comprising a sensing surface, an analog-to-digital conversion unit, a processor, a random read-write memory, a bus interface and a computer, the sensing surface is provided with an array of sensing elements, and the array of sensing elements passes through a module The digital conversion unit is electrically connected to the processor, the processor is electrically connected to the computer through a bus interface, the random access memory is electrically connected to the processor, and the sensing element is a capacitive sensing element.
[0024] An automatic adjustment processing fingerprint identification method is applicable to the above-mentioned automatic adjustment processing fingerprint identification device, comprising the following steps:
[0025] Step 1, each time the fingerprint reader with automatic adjustment processing is restarted, the initialization is performed, and the initial adjustment of ...
Embodiment 2
[0038] It is basically the same as Example 1, the difference is that there is a contrast difference between the images of all contrast areas after denoising, and it is determined that there is the most average gray value in the image of the contrast area, and the gray value is averaged according to the preset The value is expanded to a range value and this range value is determined as the reference gray value, the overall gray value of the contrast area close to the reference gray value is maintained, and then the overall gray value of the contrast area far from the reference gray value is adjusted , adjust the gray values of all images in the comparison area to be consistent and then merge them to obtain the reference image; at the same time, determine that there is an average gray value in the image of the comparison area that is the second-to-last least, and expand the second-to-last least to range value and determine this range value as the anti-reference gray value, then...
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