Method of quickly positioning Uyghur character in complex background image

A technology of complex background and localization method, applied in the field of Uyghur text localization in fast complex background images, can solve the problems of large computational cost, large amount of data, time overhead for candidate classification, time-consuming process of component extraction and component classification, etc. To achieve the effect of improving speed and accuracy

Active Publication Date: 2018-09-25
UNIV OF SCI & TECH OF CHINA
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Problems solved by technology

Such methods are faster than methods based on sliding window classification, but the process of component extraction and component classification is still time-consuming
[0004] A comprehensive analysis of the above two methods shows that in the existing text positioning framework of "candidate generation-candidate classification",

Method used

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  • Method of quickly positioning Uyghur character in complex background image
  • Method of quickly positioning Uyghur character in complex background image
  • Method of quickly positioning Uyghur character in complex background image

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Embodiment Construction

[0024] The technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0025] Embodiments of the present invention provide a fast method for locating Uighur characters in complex background images, such as figure 1 As shown, it mainly includes the following steps:

[0026] Step 1. Detect stroke key points from the image based on the detection template.

[0027] By observing the stroke features of Uighur characters, three key points of strokes can be found, that is, in the embodiment of the present invention, the followin...

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Abstract

The invention discloses a method of quickly positioning a Uyghur character in a complex background image. The method comprises steps: a stroke key point is detected from an image based on a detectiontemplate; in combination of the detected stroke key point and a flooding algorithm, a character assembly in the image is extracted; based on similarities of the character assembly, assembly clusteringis carried out to realize construction of a character line; and by using a line classifier formed by an HOG+SVM system, HOG feature extraction on the character line and binary classification of a character line and a non-character line are carried out. The method can enhance the speed and the precision of positioning the Uyghur character in the complex background image.

Description

technical field [0001] The invention relates to the field of character positioning in complex background images, in particular to a fast method for positioning Uighur characters in complex background images. Background technique [0002] Uighur text location technology in complex background images has broad application prospects in the fields of image content analysis, image content retrieval and Uyghur OCR. Although a large number of scholars have devoted themselves to the research of character positioning in complex background images in recent years, their research mainly focuses on Chinese and English. The difference between Uyghur and Chinese and English makes the existing text positioning methods not robust to Uyghur, so how to improve the speed and accuracy of Uyghur text positioning in complex background images is the key to the research of this method. In addition, due to the flexibility of the text position in the image, the search process for candidates is very ti...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/62G06K9/46
CPCG06V20/62G06V10/507G06F18/23G06F18/2411
Inventor 谢洪涛张勇东
Owner UNIV OF SCI & TECH OF CHINA
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