Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Universal detection algorithm for optical printing text and scene text

A technology for optical printing and general detection, which is applied in the field of general detection algorithms for optically printed text and scene text, which can solve the problems of affecting the effect, serious time-consuming, complicated process, etc., to improve integrity, improve accuracy, and solve low efficiency effective effect

Pending Publication Date: 2021-05-28
浙江康旭科技有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] First of all, the existing technology is relatively mature for text detection in a single direction, such as horizontal and vertical directions, but it cannot achieve an accurate detection of scene texts of various shapes (curved, vertical, multi-directional), based on bank For bill text recognition, in some business scenarios, it is necessary to detect the seal in the bill, so for bank bill text recognition, text detection algorithms for various shapes are necessary;
[0006] Secondly, most of the text in natural scenes are scene texts of various shapes. The existing technology uses segmentation methods, but usually the post-processing process is complicated, time-consuming, sensitive to thresholds, and affects the effect.

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
  • Universal detection algorithm for optical printing text and scene text
  • Universal detection algorithm for optical printing text and scene text
  • Universal detection algorithm for optical printing text and scene text

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] see Figure 1-3 , the present invention provides a technical solution: a general detection algorithm for optically printed text and scene text, comprising the following steps:

[0068] S1. Acquiring the picture to be detected;

[0069] S2. Detect the target text area in the picture to be detected;

[0070] S3. According to the correspondence between the preset text region and the text detection model, determine the detection model of the target text region corresponding to the target text;

[0071] S4. Using the target text detection model to obtain the target text detection frame;

[0072] The target text area includes header text area, stamp text area and normal text area;

[0073] The corresponding relation of text region and text detection model comprises at least one of following: adopt DBnet network algorithm model to carry out text detection to layout text region and adopt OPENCV tool to carry out seal region detection according to threshold value;

[0074] T...

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 general detection algorithm for an optical printing text and a scene text, and the algorithm comprises the following steps: S1, obtaining a to-be-detected picture, S2, detecting a target text region in the to-be-detected picture, S3, determining a detection model of a target text corresponding to the target text region according to a preset corresponding relation between a text region and a text detection model, and S4, obtaining a target text detection box by adopting the target text detection model. In the invention, the DBnet network algorithm model can test the performance of the detection algorithm in the text recognition under the condition of not changing the source code of the text recognition model, and adjust the text detection algorithm based on the test result, so that the accuracy of the text detection algorithm can be improved, the accuracy of the whole text recognition model is also improved, the text detection integrity can be improved, and the problem that in the prior art, various text types in a complex layout cannot be completely detected by adopting a single process is solved.

Description

technical field [0001] The invention relates to the technical field of text detection algorithms, in particular to a general detection algorithm for optically printed text and scene text. Background technique [0002] OCR (Optical Character Recognition, optical character recognition) is to convert the text of various documents, bills, newspapers, books, manuscripts and other printed materials into image information through optical input methods such as scanning, and then use text recognition technology to convert image information into images that can the computer input technology used; [0003] It plays a vital role in applications such as image search, instant translation and robot navigation: for example, identifying signs, street signs, store names, etc. in photos and videos, OCR is good at recognizing black and white characters on planes, and text in natural scenes has Complex lighting, occlusion, angles, fonts and 3D shadows, compared to the mature document text recog...

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): G06K9/00G06K9/62
CPCG06V30/414G06F18/214
Inventor 励建科许化顾淼陈再蝶朱晓秋樊伟东邓明明周杰
Owner 浙江康旭科技有限公司
Features
  • Generate Ideas
  • 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