Method, system and device for positioning and identifying specific plate of invoice picture

A recognition method and invoice technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as inability to recognize, heavy work, etc., and achieve the effects of high accuracy, improved efficiency, and high positioning accuracy.

Active Publication Date: 2019-03-05
SF TECH
View PDF13 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

heavy work
[0003] Although the traditional image recognition algorithm can identify each word and each symbol in the invoice picture line by line without distinction, it cannot identify which field Is the invoice number, which field is the date, which field is the amount, etc.
[0004] Therefore, the acquisition of invoice information can only be done manually

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
  • Method, system and device for positioning and identifying specific plate of invoice picture
  • Method, system and device for positioning and identifying specific plate of invoice picture
  • Method, system and device for positioning and identifying specific plate of invoice picture

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0081] This embodiment provides a method for locating and identifying a specific section of an invoice picture, taking a value-added tax invoice as an example, and the method includes:

[0082] S1. Extract and straighten the effective area of ​​the invoice from the VAT invoice picture:

[0083] Invoice pictures are often taken by people under various uncertain actual conditions, so the position of the effective area of ​​the invoice in the picture, the background pattern, light, clarity and the rotation angle of the invoice are not fixed. Such a situation is It is impossible to directly call the image recognition program to identify, so it is necessary to first locate the precise position of each target and intercept them into individual fragments for identification.

[0084] S1.1. Obtain the picture of the invoice, such as figure 1 shown;

[0085] S1.2. Read the invoice picture, use openCV's HoughLine algorithm to detect all the lines in the invoice picture; calculate the d...

Embodiment 2

[0115] The features of this embodiment that are the same as those of Embodiment 1 will not be described in detail. The features of this embodiment that are different from Embodiment 1 are:

[0116] In the method for locating and identifying a specific section of an invoice picture in this embodiment,

[0117] S2. According to the invoice information to be identified, locate and segment the area of ​​the invoice picture where it is located, and obtain the image of the invoice information to be identified:

[0118] S2.1. Determine the invoice information to be identified: the invoice number sequence;

[0119] S2.2. Determine the positioning template according to the invoice information to be identified;

[0120] S2.3. Use the positioning template to perform template matching on the entire image, determine its general position in the invoice image, and intercept part of the image in the area where the invoice information is to be identified;

[0121] S2.4. Perform 10-step zoomi...

Embodiment 3

[0128] The features of this embodiment that are the same as those of Embodiment 1 will not be described in detail. The features of this embodiment that are different from Embodiment 1 are:

[0129] In the method for locating and identifying a specific section of an invoice picture in this embodiment,

[0130] S2. According to the invoice information to be identified, locate and segment the area of ​​the invoice picture where it is located, and obtain the image of the invoice information to be identified:

[0131] S2.1. Determine the invoice information to be identified: date of invoice;

[0132] S2.2. Determine the positioning template according to the invoice information to be identified;

[0133] S2.3. Use the positioning template to perform template matching on the entire image, determine its general position in the invoice image, and intercept part of the image in the area where the invoice information is to be identified;

[0134] S2.4. Perform 15 steps of zooming in on...

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 relates to a method, a system and a device for positioning and identifying a specific plate of an invoice picture. The method for positioning and identifying a specific plate of an invoice picture comprise the following steps of: obtaining an invoice picture; determining invoice information to be identified; according to the information of the invoice to be recognized, positioning and dividing the area of the invoice picture in which the invoice is located to obtain the information picture of the invoice to be recognized; identifying text content of the picture of the invoice information to be recognized, and acquiring the invoice information to be recognized. Because the target is located and cut directly before recognition, the invoice information corresponding to each recognition content is clearly and creatively realized to automatically recognize each invoice, which fills in the blank of the technical field and has a broad application prospect. It fundamentally solves the drawback that the existing image recognition algorithm can only recognize every character in the invoice picture without distinction, but can not distinguish the required invoice information. Therefore, the acquisition of invoice information is truly automated.

Description

technical field [0001] The invention relates to invoices, in particular to a positioning and identification method, system and equipment for a specific plate of an invoice picture. Background technique [0002] Processing invoice reimbursement is a very important task for the company's financial department. Staff need to obtain information such as the invoice number sequence, company name, invoice date, amount, and tax amount in each invoice for further verification and other work. Heavy work. [0003] Although the traditional image recognition algorithm can identify every word and every symbol in the invoice picture line by line without distinction, it cannot recognize which field is the invoice number, which field is the date, and which field is the amount. Wait. [0004] Therefore, the acquisition of invoice information can only be done manually. Contents of the invention [0005] In order to solve the above-mentioned technical problems, the object of the present inv...

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): G06K9/20G06K9/32G06K9/34G06K9/46
CPCG06V10/22G06V10/243G06V10/273G06V10/25G06V10/267G06V10/48
Inventor 武晨
Owner SF TECH
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