Image-based cattle uniqueness recognition method, device and management system
A recognition method and image technology, applied in biometric recognition, neural learning methods, character and pattern recognition, etc., can solve the problems of low effectiveness of cattle and low detection accuracy of cattle face recognition, and achieve accurate recognition
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Embodiment 1
[0045] Such as figure 1 As shown, a kind of image-based cattle uniqueness identification method that this embodiment one provides, the method comprises:
[0046]In step S1, the bullnose pattern image is preprocessed, and the processed image is sent to the convolutional neural network to extract the feature quantity of the bullnose pattern, and the registration of the bullnose pattern is carried out;
[0047] In step S2, collect the bullnose pattern that needs to be identified, preprocess the collected bullnose pattern image, send the preprocessed image to the deep learning model for feature extraction, and obtain the feature vector;
[0048] In step S3, the feature vector is matched with the registered feature quantity, and the cosine similarity is calculated;
[0049] In step S4, a threshold is set, and the cosine similarity is compared with the threshold to obtain a cow recognition result.
[0050] Specifically, in step S1, such as figure 2 As shown, the specific steps o...
Embodiment 2
[0064] The second embodiment provides a cow identification device on the basis of the first embodiment, the device includes:
[0065] The first acquisition module preprocesses the bullnose pattern image, sends the processed image to the convolutional neural network to extract the feature quantity of the bullnose pattern, and registers the bullnose pattern;
[0066] The second acquisition module collects the bullnose pattern that needs to be identified, preprocesses the collected bullnose pattern image, sends the preprocessed image to the deep learning model for feature extraction, and obtains the feature vector;
[0067] A calculation module, configured to match the feature vector with the registered feature quantity, and calculate the cosine similarity;
[0068] The identification module is used to set a threshold, compare the cosine similarity with the threshold, and obtain the identification result of the cow.
[0069] Preferably, the first acquisition module and the secon...
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