Bottom-up optical character recognition method suitable for terminal strip

A bottom-up technology of optical character recognition, applied in the field of image recognition, can solve the problem of low recognition accuracy, achieve the effect of simplifying workflow, realizing end-to-end processing, fast and accurate recognition

Active Publication Date: 2020-10-30
宁夏宁电电力设计有限公司
View PDF14 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The problem to be solved by the present invention is to solve the problem that the traditional optical character recognition technology may have low recognition accuracy

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
  • Bottom-up optical character recognition method suitable for terminal strip
  • Bottom-up optical character recognition method suitable for terminal strip
  • Bottom-up optical character recognition method suitable for terminal strip

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The present invention proposes a bottom-up optical character recognition technology suitable for terminal blocks, such as figure 1 As shown, including the following steps:

[0026] 1) Perform image preprocessing on the input content image, including: geometric transformation (perspective, distortion, rotation, etc.), deformity correction, blur removal, and image enhancement.

[0027] 2) Perform text detection on the input content map. On the one hand, considering that the text of the content image of the substation terminal block is dense and tiny, the use of traditional pixel-level segmentation methods will cause a lot of information to be lost due to fragmentation. On the other hand, OCR technology is not a simple character recognition. A key step in the development trend of OCR technology is to divide characters into text and output them in units of text. Taking the above two considerations into consideration, the optical character recognition technology suitable for ter...

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 bottom-up optical character recognition method suitable for a terminal strip. The method comprises the steps: acquiring a transformer substation terminal strip content imageand performing preprocessing; adopting a bottom-up method for the preprocessed image; employing a CAM thermodynamic diagram to assist a VGG16 to detect fine-grained characters, judging whether the characters are in the same text line or not according to the distance and angle information between the characters, then adding a long-segment memory network LSTM into a detection network, and storing the context features of the text line to finally form a coarse-grained text area; in the identification network ResNet, taking CTC as a loss function, inputting the characteristic information into a training model, performing greedy coding on a model output result, and finally outputting a terminal strip identification result. According to the invention, the problem of low identification accuracy possibly generated by the conventional optical character identification technology in the actual application scene of the transformer substation terminal strip is solved, and the label of the cable sleeve of the transformer substation terminal strip can be rapidly and accurately identified.

Description

Technical field [0001] The invention belongs to the technical field of image recognition, relates to character recognition of electronic equipment, is used for intelligently recognizing the wiring of a secondary circuit of a substation, and is a bottom-up optical character recognition method suitable for terminal blocks. [0002] technical background [0003] The digital design and construction of smart substations are currently underway, and the relevant secondary system design software has a scattered focus, lacks systematization and standardization, and has not yet formed a comprehensive digital forward design process and method. The identification technology based on the perception of the Internet of Things can intelligently identify the secondary circuit wiring of the substation, and compare it with CAD drawings intelligently, and can quickly find the potential risk of inconsistency between the substation site and the completed drawings. [0004] Optical Character Recognition (O...

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): G06K9/34G06K9/62G06N3/04
CPCG06V30/153G06V30/10G06N3/044G06N3/045G06F18/214
Inventor 郭科白英施浩楠宋江宁王茜邵雪瑾胡广燕王新新彭海涛马俊先王金有
Owner 宁夏宁电电力设计有限公司
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