Scene text recognition method based on sparse coding characteristics
A sparse coding and text recognition technology, which is applied in the field of scene text recognition based on sparse coding features, can solve the problem that the character classifier cannot effectively express the character structure information, so as to improve the text recognition rate, better detect and recognize characters, and improve the discrimination effect of ability
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[0043] In order to further illustrate the technical methods and advantages of the present invention, the present invention will be further described below with reference to the accompanying drawings and specific embodiments.
[0044] like figure 1 As shown in the method flow chart in , the present invention comprises the following steps:
[0045] Step S1: input the natural scene text image to be recognized;
[0046] Step S2: Using the multi-scale sliding window method, the character classifier is used to detect and identify the window area in the image, and for each character category, the area with the larger output of the classifier is determined as the candidate character area, and the smaller output area is determined as the candidate character area. The regions are considered as background regions, thus finding candidate character regions contained in the image. Then, the non-maximum value suppression method is used to keep only the area with the largest classifier outp...
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