Scene text detection method based on stroke width transformation and convolution neural network
A technology of stroke width transformation and convolutional neural network, applied in the field of scene text detection based on stroke width transformation and convolutional neural network, to achieve the effects of rich quantity and quality, fast detection speed and fast detection rate
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[0024] The specific embodiments of the present invention will be described below with reference to the drawings.
[0025] See figure 1 with figure 2 , The implementation of the embodiment of the present invention includes the following steps:
[0026] A. Prepare the training data set and train the text binary classifier based on the Bootstrap strategy through the convolutional neural network. Among them, the training data set contains a positive sample image set of text images and a negative sample image set that does not contain text images; all the samples in the positive sample image set and the negative sample image set are cropped images of 48×48 pixels.
[0027] The positive sample images and part of the negative sample images were collected from the training data set of the STV2k database collected from the streets of China and other existing databases. Use the annotation data of these text databases for image cropping. Randomly sample rectangular windows in the entire imag...
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