Research on end-to-end document image character recognition based on differentiable binarization

In view of the poor effect of the current image and character recognition, a research method of end-to-end document image and character recognition based on the differentiable binarization is proposed. Combining the differentiable binarization algorithm to collect and recognize the document image features, an end-to-end document image and character feature extraction algorithm is constructed. Based on the calculation results, the document image is segmented, the regional image features are extracted, and the end-to-end document image and character recognition process is simplified, Finally, the experiment proves that the accuracy of the end-to-end document image and character recognition method based on the differentiable binarization can reach more than 75%, and the overall recognition effect is improved by more than 15% compared with the traditional BFGS method, which meets the research requirements.