Face Verification Method Based on Convolutional Neural Network and Bayesian Decision
A convolutional neural network, face verification technology, applied in character and pattern recognition, instruments, computing, etc., can solve problems such as improved intra-class discrimination, unsatisfactory authentication accuracy, and unguaranteed real-time performance.
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[0073] The steps of the present invention will be described in further detail below in conjunction with the accompanying drawings.
[0074] Refer to attached figure 1 , the concrete steps that the present invention realizes are as follows.
[0075] Step 1, preprocessing training samples.
[0076] The samples in the massive face image database are selected as training samples, among which the massive face image database includes PubFig face database, WDRef face database, CelebFaces face database, and non-public face images crawled from the Internet.
[0077] Use the Haar feature detector in the opencv library to detect and locate the facial feature points in the training sample image, and use the cv.getAffineTransform( ) function in the opencv library to perform affine transformation on the located feature points to realize the training sample Alignment preprocessing, use the cv.SetImageROI(·) function in the opencv library to perform face image segmentation preprocessing on ...
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