Supercharge Your Innovation With Domain-Expert AI Agents!

A detection and recognition method for sensitive text in natural scene images

A natural scene image and recognition method technology, applied in the field of image detection and recognition, to achieve the effect of improving detection accuracy, avoiding noise signals, and reducing the probability of missed detection

Active Publication Date: 2020-11-06
SICHUAN UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above problems, the present invention proposes a detection and recognition method for sensitive characters in natural scene images, which solves the stability of recognition based on single characters, solves the problem of character samples, simplifies the recognition process, and greatly improves the sensitivity of natural scenes. Text detection and recognition speed and accuracy; able to identify sensitive words in multi-directional, complex-changing text areas in natural scenes

Method used

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
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A detection and recognition method for sensitive text in natural scene images
  • A detection and recognition method for sensitive text in natural scene images
  • A detection and recognition method for sensitive text in natural scene images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037]In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further elaborated below in conjunction with the accompanying drawings.

[0038] In this example, see figure 1 As shown, the present invention proposes a detection and recognition method for sensitive characters in natural scene images, comprising steps:

[0039] S100, acquiring training samples, where the training sample data includes self-built natural scene sensitive text data sets and public text data sets;

[0040] S200, establishing a sensitive text direct recognition model based on the improved DSSD network and performing training and learning;

[0041] S300. Obtain a test sample image in a natural scene, input the test sample image into the sensitive text direct recognition model, detect and recognize the sensitive text in the test image, and realize multi-directional and complex-changing text areas in the natural scene. Sensitive word...

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

PUM

No PUM Login to View More

Abstract

The invention discloses a detection and recognition method for sensitive characters in natural scene images, comprising the steps of: obtaining training samples, the training sample data including self-built natural scene sensitive character data sets and public character data sets; establishing sensitive characters based on improved DSSD network Directly recognize the model and perform training and learning; obtain a test sample image in a natural scene, input the test sample image into the sensitive text direct recognition model, detect and recognize the sensitive text in the test image, and realize multi-directional, Sensitive word recognition in text regions with complex changes. The invention solves the stability of recognition based on single characters, solves the problem of character samples, simplifies the recognition process, and greatly improves the detection and recognition speed and accuracy of sensitive characters in natural scenes; Sensitive words in the text area are identified.

Description

technical field [0001] The invention belongs to the technical field of image detection and recognition, in particular to a detection and recognition method for sensitive characters in natural scene images. Background technique [0002] In natural scenes, scene text, as a common visual object, widely exists in various occasions, such as on the street, on the wall, etc. Due to the complex background of text in natural scenes, the changeable direction, size and scale, and often affected by uncontrollable factors such as materials and lights, it has great diversity and obvious uncertainty. For example, the text contains multiple languages, and each language contains multiple characters, and each character can have different sizes, fonts, colors, brightness, contrast, etc.; the text usually exists in the form of text lines, but the text lines may have different Arrangement and alignment, such as: multiple lines, horizontal, vertical, curved, etc.; moreover, due to the randomness...

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

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/34G06K9/62G06N3/04
CPCG06V30/153G06N3/045G06F18/214
Inventor 苟旭王勇朱斌
Owner SICHUAN UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More