Data enhancement method applied to signboard photo identification

A signboard and license plate technology, applied in the field of data processing, can solve problems such as insufficient samples, affecting the final image recognition effect, insufficient data in the text recognition stage, etc., and achieve the effect of solving the insufficient sample size

Pending Publication Date: 2022-07-01
北京云杉信息技术有限公司
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Insufficient sample size will challenge the accuracy of signboard recognition
[0003] At the same time, signboards are designed according to user preferences, so different signboard photos involve different fonts, different layout methods, and different design styles. The diversity of these data will also result in insufficient samples under this style
[0004] Existi

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
  • Data enhancement method applied to signboard photo identification
  • Data enhancement method applied to signboard photo identification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In order to make the objectives, technical solutions and advantages of the implementation of the present application clearer, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the accompanying drawings in the embodiments of the present application. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements or elements having the same or similar functions. The described embodiments are some, but not all, embodiments of the present application. The embodiments described below with reference to the accompanying drawings are exemplary, and are intended to be used to explain the present application, but should not be construed as a limitation to the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present...

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 provides a data enhancement method applied to signboard photo recognition, and the method comprises the steps: S1, carrying out the signboard image recognition of an image uploaded by a user, and filtering out non-signboard images; s2, constructing a training sample composed of a signboard photo and a random mask to carry out U-net network model training, and obtaining a repair model; s3, recognizing a light spot in the signboard image by adopting an image binarization method, and repairing the light spot; s4, identifying a signboard area P1 in the signboard image P and a character area in the signboard area P1; s5, determining an effective character area; s6, segmenting a character foreground style in the signboard area P1, extracting characters of random fonts from the dictionary to form an image Font, and replacing the characters in the effective character area with the image Font; and S7, fusing with the signboard area P1, and replacing the original signboard area in the signboard image. The problem that the sample size in model training is insufficient is solved.

Description

technical field [0001] The present application belongs to the technical field of data processing, and particularly relates to a data enhancement method applied to signboard photo identification. Background technique [0002] With the continuous popularity of artificial intelligence algorithms in the field of image recognition. Existing artificial intelligence technology, such as deep neural network and other algorithms, requires a large number of samples to train the algorithm model. Due to the particularity of signboard photos, all image samples need to be taken by users themselves, and the quality of data obtained by the network is also uneven, so the number of samples is usually insufficient. Insufficient sample size will challenge signboard recognition accuracy. [0003] At the same time, the signboard is designed according to the user's preferences, so different signboard photos involve different fonts, different layout methods and different design styles. The diversi...

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
IPC IPC(8): G06V10/25G06V30/146G06V10/774G06V30/19G06K9/62G06V10/28G06V30/162G06V10/44G06V30/18G06V10/26G06V30/148G06V10/24
CPCG06F18/214
Inventor 余英伟王则杰
Owner 北京云杉信息技术有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap