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236 results about "Document recognition" patented technology

Intelligent document recognition is a new technology that promises to transform the way businesses handle document processing. An Intelligent document recognition system analyzes the content of the document that it receives, and looks for certain keywords that match its database of business terms.

Information processing device, information processing system, information processing method, program, and storage medium

An information processing device includes: a feature extracting section for extracting, as format information, a format feature of a process-target document from image data of the process-target document, on which filling-in spaces of plural items are printed; a document recognizing section for comparing the format information of the process-target document with registered format information stored in a storage device, and specifying a registered document that corresponds to the process-target document, the registered format information regarding format features of registered documents; a data acquiring section for converting characters in the image data of the process-target document into text data; and a distributing section for grouping the image data and text data of the characters into plural groups according to a separation rule that is set for the registered document, the characters being written in the fill-in spaces of the items of the process-target document, and for transmitting the different groups to different external devices. With this, information such as personal information to be protected can be processed, preventing an operator dealing with the information from obtaining the whole information.
Owner:SHARP KK

A method and a terminal for creating paper document structured data based on a deep learning model

The invention relates to a method and a terminal for creating paper document structured data based on a deep learning model. The method comprises the following steps: training a sample set through a preset document; wherein each sample in the document sample set comprises a paper document OCR recognition result and a labeled document corresponding to the paper document OCR recognition result; wherein the labeled document records position information and category information of each key field in the OCR recognition result of the paper document; training a preset first deep learning model by using the training sample set to obtain a second deep learning model; enabling the second deep learning model to analyze a first paper document OCR recognition result to obtain position information and category information of each key field in the first paper document OCR recognition result; and creating a structured document corresponding to the first paper document OCR recognition result accordingto the position information and the category information of each key field in the first paper document OCR recognition result. The accuracy of converting the OCR result of the paper document into thestructured document is improved.
Owner:厦门商集网络科技有限责任公司
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