CN110895690A - Invoice positioning method based on openCV morphology - Google Patents
Invoice positioning method based on openCV morphology Download PDFInfo
- Publication number
- CN110895690A CN110895690A CN201910962135.9A CN201910962135A CN110895690A CN 110895690 A CN110895690 A CN 110895690A CN 201910962135 A CN201910962135 A CN 201910962135A CN 110895690 A CN110895690 A CN 110895690A
- Authority
- CN
- China
- Prior art keywords
- invoice
- coordinates
- area
- picture
- identified
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
- G06V10/225—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition based on a marking or identifier characterising the area
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Image Analysis (AREA)
Abstract
The invention provides an invoice positioning method based on openCV morphology, which comprises the following steps: the method comprises the following steps: carrying out binarization processing on the invoice picture to finish picture correction; step two: respectively carrying out one-dimensional opening operation on the processed invoice image by using a horizontal structural element and a vertical structural element to obtain a vertical contour map and a horizontal contour map; step three: weighting and combining the vertical contour map and the horizontal contour map to obtain a weighted and combined map, and outputting a frame line coordinate set; step four: obtaining the coordinates of the lower right corner of each contour line by using list screening calculation, and calculating the coordinates of the area to be identified by using the coordinates as datum points; step five: and cutting the area after the coordinates of the area to be identified are obtained, and finishing the positioning work. When only the invoice photo or the scanned image is provided, the area to be identified can be quickly positioned, a template does not need to be provided, and the positioning is accurate without deviation.
Description
Technical Field
The invention relates to the field of text image processing, in particular to an invoice positioning method based on openCV morphology.
Background
With the development of science and technology, computers have gradually replaced the heavy work of manpower. In the field of bank invoice processing, the identification and entry system is more and more widely applied, so that a large amount of time wasted by manual participation is saved, and meanwhile, the working efficiency is improved. But as the early work of the identification system, the positioning of the invoice to-be-identified area is the basis of identification and is also the focus of the current research. At present, an identification system does not have a good method for determining an invoice identification area, so that the design of an invoice positioning method is particularly important.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide an invoice positioning method based on openCV morphology, which accurately positions a text region to be identified in an invoice through a positioning technology of the region to be identified of the invoice detected by contour lines, and solves the problem that the existing identification system has no better determination method for the region to be identified of the invoice.
The invention provides an invoice positioning method based on openCV morphology, which comprises the following steps:
the method comprises the following steps: carrying out binarization processing on the invoice picture to finish picture correction;
step two: respectively carrying out one-dimensional opening operation on the processed invoice image by using a horizontal structural element and a vertical structural element to obtain a vertical contour map and a horizontal contour map;
step three: weighting and combining the vertical contour map and the horizontal contour map to obtain a weighted and combined map, and outputting a frame line coordinate set;
step four: obtaining the coordinates of the lower right corner of each contour line by using list screening calculation, and calculating the coordinates of the area to be identified by using the coordinates as datum points;
step five: and cutting the area after the coordinates of the area to be identified are obtained, and finishing the positioning work.
The further improvement lies in that: in the step one, when the invoice picture is processed, the correction is carried out by using a method of contour extraction and Hough transform detection.
The further improvement lies in that: the invoice picture in the first step is an invoice photo or an invoice scanning picture.
The invention has the beneficial effects that: the method has the advantages that the text area to be identified in the invoice is accurately positioned through the positioning technology of the area to be identified of the invoice detected through the contour lines, the area to be identified can be quickly positioned when only an invoice photo or a scanned image is provided, a template does not need to be provided, and the positioning is accurate without deviation.
Drawings
FIG. 1 is a vertical contour plot of the present invention.
Fig. 2 is a horizontal contour plot of the present invention.
Fig. 3 is a diagram illustrating the combination weighted according to the present invention.
FIG. 4 is a drawing illustrating the clipping according to the present invention.
FIG. 5 is a diagram of the clipping of the present invention.
Detailed Description
For the purpose of enhancing understanding of the present invention, the present invention will be further described in detail with reference to the following examples, which are provided for illustration only and are not to be construed as limiting the scope of the present invention.
As shown in the figure, the present embodiment provides an invoice positioning method based on openCV morphology, where the positioning method includes the following steps:
the method comprises the following steps: carrying out binarization processing on the invoice picture to finish picture correction;
step two: respectively carrying out one-dimensional opening operation on the processed invoice image by using a horizontal structural element and a vertical structural element to obtain a vertical contour map figure 1 and a horizontal contour map figure 2;
step three: weighting and combining the vertical contour diagram figure 1 and the horizontal contour diagram figure 2 to obtain a weighted and combined figure 3, and outputting a frame line coordinate set;
step four: obtaining the coordinates of the lower right corner of each contour line by using list screening calculation, and calculating the coordinates of the area to be identified by using the coordinates as datum points;
step five: and cutting the area after the coordinates of the area to be identified are obtained, and finishing the positioning work.
In the step one, when the invoice picture is processed, the correction is carried out by using a method of contour extraction and Hough transform detection. The invoice picture in the first step is an invoice photo or an invoice scanning picture.
Claims (3)
1. An invoice positioning method based on openCV morphology is characterized in that: the positioning method comprises the following steps:
the method comprises the following steps: carrying out binarization processing on the invoice picture to finish picture correction;
step two: respectively carrying out one-dimensional opening operation on the processed invoice image by using a horizontal structural element and a vertical structural element to obtain a vertical contour map and a horizontal contour map;
step three: weighting and combining the vertical contour map and the horizontal contour map to obtain a weighted and combined map, and outputting a frame line coordinate set;
step four: obtaining the coordinates of the lower right corner of each contour line by using list screening calculation, and calculating the coordinates of the area to be identified by using the coordinates as datum points;
step five: and cutting the area after the coordinates of the area to be identified are obtained, and finishing the positioning work.
2. The invoice locating method based on openCV morphology as claimed in claim 1, wherein: in the step one, when the invoice picture is processed, the correction is carried out by using a method of contour extraction and Hough transform detection.
3. The invoice locating method based on openCV morphology as claimed in claim 1, wherein: the invoice picture in the first step is an invoice photo or an invoice scanning picture.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910962135.9A CN110895690A (en) | 2019-10-11 | 2019-10-11 | Invoice positioning method based on openCV morphology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910962135.9A CN110895690A (en) | 2019-10-11 | 2019-10-11 | Invoice positioning method based on openCV morphology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110895690A true CN110895690A (en) | 2020-03-20 |
Family
ID=69786273
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910962135.9A Pending CN110895690A (en) | 2019-10-11 | 2019-10-11 | Invoice positioning method based on openCV morphology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110895690A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101676930A (en) * | 2008-09-17 | 2010-03-24 | 北大方正集团有限公司 | Method and device for recognizing table cells in scanned image |
| US20110044548A1 (en) * | 2008-03-31 | 2011-02-24 | Perceptive Software, Inc. | Automatic forms identification systems and methods |
| CN105528604A (en) * | 2016-01-31 | 2016-04-27 | 华南理工大学 | Bill automatic identification and processing system based on OCR |
| CN106875546A (en) * | 2017-02-10 | 2017-06-20 | 大连海事大学 | A kind of recognition methods of VAT invoice |
| CN108460381A (en) * | 2018-03-13 | 2018-08-28 | 南京邮电大学 | Invoice reimbursement Information locating based on image recognition and intercept method |
| CN109858414A (en) * | 2019-01-21 | 2019-06-07 | 南京邮电大学 | A kind of invoice piecemeal detection method |
| CN109948617A (en) * | 2019-03-29 | 2019-06-28 | 南京邮电大学 | A kind of invoice image position method |
-
2019
- 2019-10-11 CN CN201910962135.9A patent/CN110895690A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110044548A1 (en) * | 2008-03-31 | 2011-02-24 | Perceptive Software, Inc. | Automatic forms identification systems and methods |
| CN101676930A (en) * | 2008-09-17 | 2010-03-24 | 北大方正集团有限公司 | Method and device for recognizing table cells in scanned image |
| CN105528604A (en) * | 2016-01-31 | 2016-04-27 | 华南理工大学 | Bill automatic identification and processing system based on OCR |
| CN106875546A (en) * | 2017-02-10 | 2017-06-20 | 大连海事大学 | A kind of recognition methods of VAT invoice |
| CN108460381A (en) * | 2018-03-13 | 2018-08-28 | 南京邮电大学 | Invoice reimbursement Information locating based on image recognition and intercept method |
| CN109858414A (en) * | 2019-01-21 | 2019-06-07 | 南京邮电大学 | A kind of invoice piecemeal detection method |
| CN109948617A (en) * | 2019-03-29 | 2019-06-28 | 南京邮电大学 | A kind of invoice image position method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108764229B (en) | Water gauge image automatic identification method based on computer vision technology | |
| CN108133216B (en) | Nixie tube reading identification method capable of realizing decimal point reading based on machine vision | |
| TWI398157B (en) | System and method for boundary scan of an image | |
| CN103258198A (en) | Extraction method for characters in form document image | |
| CN102974551A (en) | Machine vision-based method for detecting and sorting polycrystalline silicon solar energy | |
| CN103258201A (en) | Form line extraction method integrating global information and local information | |
| CN106651831B (en) | Bamboo block defect detection method and system | |
| CN111257329A (en) | Smartphone camera defect detection method and detection system | |
| CN103279924A (en) | Correction method for patent certificate image with any inclination angle | |
| CN106504225A (en) | A kind of recognition methodss of regular polygon and device | |
| CN110335280A (en) | A kind of financial documents image segmentation and antidote based on mobile terminal | |
| CN103914829B (en) | Method for detecting edge of noisy image | |
| CN102073872A (en) | Image-based method for identifying shape of parasite egg | |
| CN109635729B (en) | Form identification method and terminal | |
| TWI383690B (en) | Method for image processing | |
| CN113393430B (en) | Thermal imaging image enhancement training method and device for fan blade defect detection | |
| CN113642570A (en) | Method for recognizing license plate of mine car in dark environment | |
| CN110751690B (en) | Visual positioning method for milling machine tool bit | |
| CN110895690A (en) | Invoice positioning method based on openCV morphology | |
| CN110288531B (en) | Method and tool for assisting operator in making standard identity card photo | |
| CN110322508B (en) | Auxiliary positioning method based on computer vision | |
| CN108921882B (en) | Button automatic alignment method based on machine vision | |
| CN107564001B (en) | Magnetic sheet corner defect detection method based on pit search | |
| CN115753791A (en) | Defect detection method, device and system based on machine vision | |
| CN115620289A (en) | OCR data acquisition method for old machine tool |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200320 |
|
| RJ01 | Rejection of invention patent application after publication |