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File scanning method, device and equipment

A file scanning and file technology, applied in the computer field, can solve the problems of low recognition accuracy and complex algorithm implementation, and achieve the effect of simplifying the algorithm implementation

Pending Publication Date: 2018-07-20
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a document scanning method, device and equipment, which are used to solve the problem that the implementation of the algorithm for finding the quadrilateral-shaped edge area is relatively complicated and the recognition accuracy is not high when the Canny algorithm is used for edge detection

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  • File scanning method, device and equipment
  • File scanning method, device and equipment
  • File scanning method, device and equipment

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Embodiment Construction

[0039] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0040]The method provided in this embodiment can be applied to a server, and can also be applied to a terminal. When this method is applied to a terminal, the neural network algorithm needs to be optimized due to the limited memory and operating speed of the terminal. In one implementation, since the neural network algorithm is built by the framework, modules not used by the neural network algorithm in the framework can be deleted, and only modules used by the neural network algorithm can be kept, thereby reducing the terminal memory occupation of the framework. In addition, since the purpose of the neural network algorithm in this embodiment is to detect edge regions, the complexity is not high, so the number of convolution kernels in...

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Abstract

The invention discloses a file scanning method, device and equipment, and belongs to the field of computer technologies. The file scanning method comprises the steps of obtaining a to-be-scanned imagecontaining a file; detecting the edges of objects of a preset shape in the image by using a neural network algorithm to obtain edge regions of the preset shape, wherein the preset shape is the same as a preset file shape; searching an edge region of the file in each edge region; and performing screenshot on the edge region of the file to obtain a scanning result. The file scanning method not onlycan simplify the implementation of an algorithm for searching the edge region of the file through reducing the search range of the edge region of the file, but also can improve the recognition accuracy by reducing the search range of the edge region of the file.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a document scanning method, device and equipment. Background technique [0002] With the improvement of camera pixels in terminals, many users use terminals to scan documents in order to convert written documents into electronic documents for preservation. [0003] In the related technology, the terminal obtains the image to be scanned, and uses the Canny algorithm to detect the edges of all objects in the image. Since the Canny algorithm detects the angle based on the color difference of adjacent pixels, the Canny algorithm is used for detection. The edge area of ​​various shapes of all objects in the image can be obtained, and since the file is usually in the shape of a quadrilateral, it is possible to search for the edge area of ​​the quadrilateral shape in the edge area of ​​various shapes, and take a screenshot of the edge area of ​​the quadrilateral shape Get the scan re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06T7/136
CPCG06T2207/10008G06T2207/20081G06T2207/20084G06T2207/20132G06T2207/20221G06T7/13G06T7/136
Inventor 冯牮
Owner TENCENT TECH (SHENZHEN) CO LTD