Gender recognition method based on convolution neural network
A convolutional neural network, gender recognition technology, applied in biological neural network models, character and pattern recognition, instruments, etc., can solve the problems of different shooting angles, affecting the gender recognition recognition rate, etc., to achieve the effect of high classification accuracy
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[0022] figure 1 It is a flowchart of the gender recognition method based on the convolutional neural network of the present invention. like figure 1 As shown, the specific steps of the gender recognition method based on the convolutional neural network of the present invention include:
[0023] S101: Obtain training sample images:
[0024] Obtain a number of male and female face images respectively to form a training sample set, and mark each face image in the training sample set with a gender label, generally 0 and 1.
[0025] S102: image preprocessing:
[0026] Preprocess each face image in the training sample set to highlight features and remove noise. The preprocessing operations used in this embodiment include histogram equalization, face tilt correction, Gaussian filtering, and size normalization. These preprocessing operations are common operations in the field of human face images, and the specific process will not be repeated here.
[0027] S103: Extracting Gabor...
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