A Fast Method for Locating Uyghur Characters in Complex Background Images

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, time overhead of candidate classification due to large amount of data, time-consuming process of component extraction and component classification, etc. To achieve the effect of improving speed and accuracy

Active Publication Date: 2020-06-26
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", the amount of data generated by candidates is large and the classification of candidates generates a lot of additional time overhead
In addition, there are currently no effective manual features to distinguish text and non-text candidates, and the feature framework learned by deep learning is too large and computationally expensive

Method used

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  • A Fast Method for Locating Uyghur Characters in Complex Background Images
  • A Fast Method for Locating Uyghur Characters in Complex Background Images
  • A Fast Method for Locating Uyghur Characters in Complex Background Images

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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 fast method for locating Uighur characters in a complex background image, comprising: detecting stroke key points from the image based on a detection template; combining the detected stroke key points with a flooding algorithm to extract text components in the image; The similarity of text components is used to cluster components to realize the construction of text lines; the line classifier composed of HOG+SVM system is used to extract HOG features from text lines, and to classify text lines and non-text lines. This method can improve the speed and accuracy of Uighur text positioning in complex background images.

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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Patent Type & Authority Patents(China)
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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