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Offsetting rotated tables in images

An image-based and form-based technology, applied in graphics and image conversion, image data processing, instruments, etc., can solve problems such as incorrect results and obstacles

Active Publication Date: 2017-08-18
KONICA MINOLTA LAB U S A INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, text characters rotated about the horizontal or vertical axis often hinder these algorithms and lead to incorrect results

Method used

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  • Offsetting rotated tables in images
  • Offsetting rotated tables in images
  • Offsetting rotated tables in images

Examples

Experimental program
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Effect test

Embodiment Construction

[0012] Specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings. For consistency, the same elements in the various figures are denoted by the same reference numerals.

[0013] In the following detailed description of embodiments of the invention, numerous specific details are set forth in order to provide a more thorough understanding of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced without these specific details. In other instances, well known features have not been described in detail to avoid unnecessarily complicating the description.

[0014] In general, embodiments of the present invention provide methods, non-transitory computer readable media (CRM), and systems for image processing. Images including tables are obtained and converted into tasks. Because tables can be drawn by hand, tables may not be perfectly horizontal or vertical and...

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Abstract

A method for image processing, including: obtaining an image including a table; identifying a first line corresponding to the table in the image, a first confidence value for the first line, and a first angle for the first line; initiating a plurality of angle bins corresponding to multiple angles; calculating, based on the first confidence value, a first plurality of bin values for a first subset of the plurality of angle bins within a window surrounding the first angle; adding the first plurality of bin values to the first subset of the plurality of angle bins; identifying an angle bin of the plurality of angle bins having a maximum bin value; and rotating the image based on the angle bin having the maximum bin value.

Description

technical field [0001] The present invention relates to offsetting tables of rotations in images. Background technique [0002] An image can contain any number of tables. Furthermore, each table can be of any size (ie, any number of rows, any number of columns). Each cell of the table (ie, the intersection of a row and column) may include text characters of any font, size, type, etc. The form can be hand-drawn (ie, manually drawn by a user) or machine-generated. Within the image, the form may not be perfectly horizontal or perfectly vertical. In other words, the table can be rotated about a horizontal axis or a vertical axis. This rotation may be the result of a user manually drawing the form and / or a process (eg, scanning) that generates the image. [0003] Optical character recognition (OCR) is the process of identifying text characters within an image (eg, text characters within cells of a table). Many algorithms exist to perform OCR. However, text characters rotat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/24G06K9/34
CPCG06F40/177G06V10/273G06T3/608G06V30/413G06V10/243G06V30/414
Inventor 达雷尔.E.贝勒特
Owner KONICA MINOLTA LAB U S A INC
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