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
CN108573258BActive Publication Date: 2020-06-26UNIV OF SCI & TECH OF CHINA
4 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
UNIV OF SCI & TECH OF CHINA
Publication Date
2020-06-26

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

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.
Need to check novelty before this filing date? Find Prior Art

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More