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- W4385435153 abstract "The problem of recognition of images of administrative documents is considered. Administrative documents are used in an organization or group of organizations to accompany business processes. The structure of administrative documents contains static elements and fill areas (fields). The main stages of recognition are the linking stage (finding areas of filling) and the stage of recognition (extracting text or graphic information from these areas). The chapter considers the stage of linking field boundaries. The linking is carried out using a model based on static reference elements. The reference elements in the model are the line segments (separating lines) and the words of the text. The model consists of a set of descriptors. A simple text descriptor contains words and attributes to distinguish it from similar descriptors. A text descriptor has an order relationship with other text descriptors. It is proposed to use combined descriptors consisting of words and segments. Linking is carried out by superimposing descriptors and a set of recognized words and detected segments in the document page image. The SDK Smart Document Engine was used as OCR in the experiment. For our private dataset, consisting of universal transfer documents, it is shown that the extraction of object sets improves the accuracy of recognition of document fields during recognition by 16%, and the accuracy of extracting information from a document image by 15%." @default.
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- W4385435153 date "2023-01-01" @default.
- W4385435153 modified "2023-09-25" @default.
- W4385435153 title "Method for Analyzing the Structure of Noisy Images of Administrative Documents" @default.
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- W4385435153 doi "https://doi.org/10.1007/978-3-031-33159-6_4" @default.
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