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Document processing is a field of research and a set of production processes aimed at making an analog document digital. Document processing does not simply aim to photograph or scan a document to obtain a digital image, but also to make it digitally intelligible. This includes extracting the structure of the document or the layout and then the content, which can take the form of text or images. The process can involve traditional computer vision algorithms, convolutional neural networks or manual labor. The problems addressed are related to semantic segmentation, object detection, optical character recognition OCR, handwritten text recognition HTR and, more broadly, transcription, whether automatic or not.[1] The term can also include the phase of digitizing the document using a scanner and the phase of interpreting the document, for example using natural language processing NLP or image classification technologies. It is applied in many industrial and scientific fields for the
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