Water book character recognition method based on CNN structure neural network
A neural network and text recognition technology, applied in the field of text recognition, can solve problems such as low accuracy of water script text, achieve the effect of reducing over-fitting phenomenon, reducing the amount of parameters, and enhancing features
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[0026] Step 1. Collect samples of water script;
[0027] In order to solve the translation text of Shuishu characters, we chose 120 pages of "Shuishu Dictionary" as the basic sample;
[0028] Step 2. Use a neural network model based on the CNN structure to extract and classify the water book text samples;
[0029] Image feature extraction refers to obtaining various metrics or attributes useful for classification from the object itself. According to the feature vector obtained by feature extraction, the object is assigned a category mark, so that the analysis sample is divided into n categories. It is generally believed that two objects are similar because they have similar features, so samples with similar features belong to the same category.
[0030] In traditional machine learning methods, most of them manually extract the features of the image to be classified, and then put the features into common classifiers (such as SVM, decision tree, random forest) for classification, and ob...
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