Text line rotation correction method and device based on projection

A rotation correction and text line technology, applied in the field of image recognition, can solve the problems of poor optical character recognition accuracy and low efficiency, and achieve the effect of easy implementation, improved computing speed, and universality.

Pending Publication Date: 2020-12-18
BEIJING LUSTER LIGHTTECH
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Problems solved by technology

[0005] This application provides a projection-based text line rotation correction method and dev...

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  • Text line rotation correction method and device based on projection
  • Text line rotation correction method and device based on projection
  • Text line rotation correction method and device based on projection

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Embodiment Construction

[0043] The embodiments will be described in detail hereinafter, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following examples do not represent all implementations consistent with this application. These are merely examples of systems and methods consistent with aspects of the present application as recited in the claims.

[0044] see figure 1 , is a flowchart of an embodiment of the first aspect of the present application, so as to facilitate understanding of the technical solutions of the following embodiments.

[0045] The first aspect of the present application provides a projection-based text line rotation correction method, comprising the following steps:

[0046] S101, acquiring a text image to be corrected;

[0047] S102. Rotate the text ...

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Abstract

The invention belongs to the technical field of image recognition, and particularly relates to a text line rotation correction method and device based on projection. At present, common optical character recognition algorithms mostly adopt algorithms such as path search and connected domain analysis to directly perform character segmentation, are susceptible to noise interference, and are relatively high in error rate and relatively low in efficiency. The projection technology is adopted, the text line direction can be rapidly and accurately positioned and the rotation correction angle can be calculated according to the corresponding relation between the aspect ratio of the projection curve and the text line inclination angle so that a text line image in the horizontal direction can be acquired, and the projection method is efficient, accurate and great in stability. Through coarse positioning and fine positioning processes, the operation rate is improved, and the accuracy of the algorithm is improved; the method is easy to implement, low in algorithm complexity, universal and suitable for popularization and application in the industry.

Description

technical field [0001] The present application relates to the technical field of image recognition, and in particular to a projection-based text line rotation correction method and device. Background technique [0002] In the field of image recognition technology, optical character recognition is an important recognition technology. Optical character recognition refers to the process of using electronic equipment to determine the shape of characters, and then using character recognition methods to translate the shape into computer text, that is, scanning text images, and then analyzing and processing text lines to obtain text characters, mainly including images Acquisition, preprocessing, feature extraction and character recognition are four links. [0003] However, when performing optical character recognition, the non-levelness of the text line direction contained in the image will increase the difficulty of single character segmentation, and will also reduce the accuracy...

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Application Information

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IPC IPC(8): G06K9/32G06K9/34G06K9/46G06K9/62
CPCG06V30/1478G06V30/153G06V10/44G06V30/10G06F18/23
Inventor 王玉娇
Owner BEIJING LUSTER LIGHTTECH
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