A method and a system for calculating the credibility of face recognition
A face recognition and calculation method technology, applied in the field of face recognition, can solve the problems of huge calculation amount and inaccurate reliability results, and achieve the effect of reliable judgment results and simple reliability calculation.
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Embodiment 1
[0048] This embodiment discloses a method for calculating the credibility of face recognition, such as figure 1 shown, including steps:
[0049] S101. Select a preset number of face image samples of the same individual and a preset number of non-identical face image samples in the preset face data set;
[0050] S102. Calculate the similarity of each pair of pictures in the same individual face picture samples as a positive sample, and calculate the similarity of each pair of pictures in the non-same individual face pictures as a negative sample;
[0051] S103. Fit the distribution of the number of positive and negative samples along with the similarity value to a normal distribution curve, and obtain the normal distribution expressions of the positive and negative samples respectively;
[0052]S104. Calculate the face recognition reliability according to the ratio of the positive sample distribution to the sum of positive and negative sample distributions.
[0053] With the ...
Embodiment 2
[0079] This embodiment discloses a method for calculating the reliability of face recognition. The difference from Embodiment 1 is that this embodiment also includes step S205, step S206 and step S207. Calculate and count, and establish the credibility model of face recognition, and then analyze the credibility of the collected face pictures to make the judgment result more reliable, such as Figure 5 shown, including steps:
[0080] S201. Select a preset number of face image samples of the same individual and a preset number of non-identical face image samples in the preset face data set;
[0081] S202. Calculate the similarity of each pair of pictures in the same individual face picture samples as a positive sample, and calculate the similarity of each pair of pictures in the non-same individual face pictures as a negative sample;
[0082] S203, fitting the distribution of the number of positive and negative samples along with the similarity value to a normal distribution c...
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