Fingerprint identification method, device, equipment and storage medium
A fingerprint identification and fingerprint image technology, applied in the fields of equipment and storage media, devices, and fingerprint identification methods, can solve problems such as hidden dangers and no influence of fingerprint identification technology, and achieve the goal of ensuring the fingerprint identification process, ensuring normality, and improving security. Effect
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Embodiment 1
[0040] figure 1 It is a flow chart of a fingerprint recognition method provided by an embodiment of the present invention, and the execution body of the method is part or all of the terminal device, such as the terminal device or a processor in the terminal device. The fingerprint identification method will be described below by taking the execution subject of the method as a terminal device as an example. Optionally, the terminal device may be a terminal with a fingerprint identification function such as a mobile phone, a PAD, or a notebook computer, which is not limited in this embodiment of the present invention. Such as figure 1 As shown, the fingerprint identification method includes the following processes:
[0041] Step S11: The terminal device acquires N frames of fingerprint images, where N is an integer greater than 1.
[0042] Step S12: The terminal device judges whether there is a fixed residual area in the N frames of fingerprint images.
[0043] Step S13: If ...
Embodiment 2
[0052] The above step S12 is described as follows:
[0053] A possible implementation method: the terminal device determines the pixels with the same pixel value in the corresponding position in the N frames of fingerprint images. The so-called corresponding position means that the N frames of fingerprint images are placed in the same coordinate system, and the four corner pixels of the N frames of images are aligned. , the so-called four corner pixels include: upper left pixel, lower left pixel, upper right pixel and lower right pixel. Based on this, a certain pixel point in each frame of fingerprint images has a corresponding pixel point in other N−1 frames of fingerprint images, for example: the center points in N frames of fingerprint images are all corresponding to each other. After the terminal device determines the pixels with the same corresponding pixel values in the N frames of fingerprint images, the terminal device determines at least one connected region formed ...
Embodiment 3
[0081] On the basis of embodiment one or embodiment two, Figure 5 The flow chart of the fingerprint recognition method provided for another embodiment of the present invention, such as Figure 5 As shown, above-mentioned step S13 comprises:
[0082] Step S131a: If there is a fixed residual area in the N frames of fingerprint images, the terminal device acquires the geometric transformation vector information corresponding to the last frame of fingerprint images.
[0083] Step S132a: The terminal device uses the second binarized image as a residual texture template and a residual texture sample.
[0084] Step S133a: The terminal device adjusts the relative positions of the residual texture template and the residual texture sample according to the geometric transformation vector information.
[0085] Step S134a: The terminal device calculates the similarity between the residual texture template and the residual texture sample after the relative position adjustment, and takes ...
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