Fingerprint identification method and device, and mobile terminal
A recognition method and a technology of a recognition device, which are applied in character and pattern recognition, acquisition/organization of fingerprints/palmprints, detection of live finger shapes, etc., can solve problems such as inconvenience and waste of mobile terminal resources, and avoid waste of resources and avoid fingerprints. Effects of Recognition Failure, Facilitation Resources
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Embodiment 1
[0024] figure 1 It is a schematic flowchart of the fingerprint identification method provided in Embodiment 1 of the present invention. The method can be executed by a fingerprint identification device, wherein the device can be implemented by software and / or hardware, and can generally be integrated into a mobile terminal. like figure 1 As shown, the method includes:
[0025] Step 101, using a fingerprint sensor to acquire an image.
[0026] Since the fingerprint sensor integrated in the mobile terminal is relatively sensitive, when the user puts part of the finger on the fingerprint sensor or puts the mobile terminal in the pocket, the fingerprint sensor will also detect part of the finger or the clothes in the pocket to achieve Therefore, the image obtained above is not only the whole image of the fingerprint, but also part of the image of the fingerprint, or even the image of the texture of the clothes.
[0027] Step 102, calculating the number of pixels in the preset a...
Embodiment 2
[0035] figure 2 It is a schematic flow chart of the fingerprint recognition method provided by Embodiment 2 of the present invention. This Embodiment 2 is optimized based on the above Embodiment 1. In this Embodiment 2, the obtained information in step 103 is judged according to the number of pixels. Optimizing whether the image is a valid image is: judging whether the number of pixels is greater than or equal to the first preset value. like figure 2 As shown, the method includes:
[0036] Step 201, using a fingerprint sensor to acquire an image.
[0037] Step 202, calculating the number of pixels in the preset area of the acquired image.
[0038] Step 203 , judging whether the number of pixels is greater than or equal to a first preset value, if yes, the acquired image is a valid image, and comparing the acquired image with the template image.
[0039] Comparing the number of pixels in the preset area of the acquired image obtained by the above calculation with the ...
Embodiment 3
[0042] image 3 It is a schematic flow chart of the fingerprint recognition method provided by Embodiment 3 of the present invention. This Embodiment 3 is optimized based on the above-mentioned Embodiment 1. In this Embodiment 3, the image acquisition in step 101 is optimized as follows: continuously acquire Image; the optimization of judging whether the acquired image is a valid image according to the number of pixels in step 103 is: judging whether the acquired image at each moment is a valid image. like image 3 As shown, the method includes:
[0043] Step 301, using the fingerprint sensor to acquire an image every preset time period.
[0044]The fingerprint sensor is used to obtain an image at intervals of a preset time period, so as to realize continuous image acquisition.
[0045] Step 302, calculating the number of pixels in the preset area of the image captured by the fingerprint sensor at each moment.
[0046] Calculate the number of pixels in the preset area of...
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