A boot adaptive initialization fingerprint parameter method based on android system
An adaptive and initialization technology, applied in the direction of digital data authentication, image data processing, image enhancement, etc., can solve problems such as the difference of image brightness and darkness, shorten adjustment time, avoid adjustment errors, and improve compatibility and functionality. Effect
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Embodiment 1
[0047] In this embodiment, the preset fingerprint ic can be used, which has 80*64 pixels. The adjustment process in this embodiment mainly involves three aspects: calculating the corresponding index, and suspending the adjustment when the fingerprint is pressed or there is a covering. See figure 1 , the specific steps include:
[0048] 1. Calculate the corresponding noise image index:
[0049] 1. Calculate the mean value and mean square error of the image (for the convenience of calculation, use the mean absolute difference instead), and calculate its histogram as a global histogram. Due to problems such as chip packaging, there are 2*2 black borders during imaging, which is harmful to the calculation of some indicators Noise effect, so when calculating the black point black_num (non-white point 255), use the image with 2*2 black edges removed, and calculate its histogram as a local histogram;
[0050] 2. Calculate the pixel values index_max and index_max_all of the maximu...
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