Oracle carved text detection method combining local prior features and deep convolution features
A technology of deep convolution and text detection, applied in neural learning methods, computer components, character and pattern recognition, etc., can solve problems such as inability to achieve accurate extraction of oracle bone characters
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[0101] The oracle bone inscription character detection method of the present invention in conjunction with local prior feature and deep convolution feature, carries out according to the following steps;
[0102] Step 1. Establish and initialize a deep convolutional neural network N for detection of oracle bone inscriptions obc , the N obc Contains 1 subnetwork N for feature extraction feature , 1 sub-network N for oracle region proposals rpn , 1 sub-network N for dimensionality reduction of oracle bone character area features dimand 1 subnetwork N for region classification cls ;
[0103] Step 1.1 Establish and initialize subnetwork N feature , containing 6 sets of convolutional layers, namely Conv0, Conv1, Conv2, Conv3, Conv4 and Conv5;
[0104] The Conv0 includes 1 layer of convolution operation and 5 preset convolution kernels defined by formula (1), each convolution kernel performs convolution operation with a step size of 1 pixel;
[0105]
[0106] The Conv1 incl...
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