Fully convolutional neural network-based screening face image identification method and device
A convolutional neural network and face image technology, applied in neural learning methods, biological neural network models, character and pattern recognition, etc., can solve the problems of face recognition system interference, reduce the accuracy of face recognition, etc., and improve the algorithm The effect of recognition rate, fast calculation speed and improved accuracy
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[0020] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.
[0021] In order to solve the recognizing problem of reticulated face images, the reticulated face image recognition method and device based on full convolutional neural network proposed by the present invention recover from reticulated face images without reticulation through full convolutional neural network Clear face image. Because the fully convolutional neural network has down-sampling and up-sampling layers, on the one hand, it can reduce the amount of calculation, on the other hand, it can also increase the visual receptive field, improve the ability to use contextual information, and thus improve the effect. In order to ensure a better recognition effect while recovering a clear image, the present invention uses...
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