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Scene text recognition plays an important role in many computer visionapplications. The small size of available public available scene text datasetsis the main challenge when training a text recognition CNN model. In thispaper, we propose a CNN based Chinese text recognition algorithm. To enlargethe dataset for training the CNN model, we design a synthetic data engine forChinese scene character generation, which generates representative characterimages according to the fonts use frequency of Chinese texts. As the Chinesetext is more complex, the English text recognition CNN architecture is modifiedfor Chinese text. To ensure the small size nature character dataset and thelarge size artificial character dataset are comparable in training, the CNNmodel are trained progressively. The proposed Chinese text recognitionalgorithm is evaluated with two Chinese text datasets. The algorithm achievesbetter recognize accuracy compared to the baseline methods.

A CNN Based Scene Chinese Text Recognition Algorithm With Synthetic Data Engine