Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Bill correction method based on key point detection

A key point, bill technology, applied in the fields of instruments, biological neural network models, character and pattern recognition, etc., can solve the problems of poor algorithm performance and low accuracy, and achieve the effect of improving performance

Inactive Publication Date: 2021-02-09
SICHUAN CHANGHONG ELECTRIC CO LTD
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a bill correction method based on key point detection in order to solve the problems of low accuracy and poor algorithm performance in the current mainstream bill positioning and correction methods. The technical essence of the method for solving the problem in the present invention is , carry out reasonable data enhancement on the real data, increase the key point labeling of the training data, and combine the high-resolution network HR-Net to jointly improve the performance of the ticket positioning correction algorithm model

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
  • Bill correction method based on key point detection
  • Bill correction method based on key point detection
  • Bill correction method based on key point detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other implementations obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0030] In either embodiment, if Figure 1-5 As shown, a kind of bill correction method based on key point detection of the present invention comprises:

[0031] Step 1: Data Preparation

[0032] In this embodiment, the value-added tax invoice data is collected, and the clearer available picture data is first screened out, and the picture is marked, and a total of 18 key points are marked, and the distribution is as follows image 3 shown. Then divide the dat...

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 bill correction method based on key point detection, and the method improves the performance of a bill correction algorithm model through the reasonable data enhancement of real data, the increase of training data key point marks and the combination of a high-resolution network HR-Net, and finally achieves the purpose of bill correction.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a key point detection-based bill correction method. Background technique [0002] At present, the number of various types of bills is gradually increasing, so a series of issues such as the positioning, correction, identification and detection of bills have become more and more important. Among them, bill rectification, as a preliminary step of bill identification, plays a crucial role. At present, in the field of bill positioning correction, commonly used methods include traditional image processing methods and deep learning methods. Among them, traditional image processing methods can combine image binarization, edge detection and other technologies to locate bills; and deep learning methods can use methods based on convolutional neural networks. The specific shortcomings of these methods are: traditional image processing methods have strict requirements on sa...

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 Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/46G06N3/04
CPCG06V30/40G06V10/243G06V10/44G06N3/045
Inventor 杨懿龄刘楚雄肖欣庭池明辉
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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
Eureka Blog
Learn More
PatSnap group products