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Invoice tilt detection and geometric correction method based on image recognition

An image recognition and geometric correction technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of occupying the reimburser's energy, long reimbursement process, low efficiency of manual reimbursement of invoices, etc., to achieve high stability and robustness. awesome effect

Inactive Publication Date: 2018-09-18
NANJING UNIV OF POSTS & TELECOMM +1
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  • Abstract
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AI Technical Summary

Problems solved by technology

But now most of the invoice reimbursement work is done manually
Manual reimbursement of invoices is inefficient, the reimbursement process is long, time-consuming, and the error rate is extremely high
Manual reimbursement of invoices not only increases the workload of financial personnel, but also takes up a lot of extra energy for reimbursers, and will increase the production cost of the enterprise

Method used

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  • Invoice tilt detection and geometric correction method based on image recognition
  • Invoice tilt detection and geometric correction method based on image recognition
  • Invoice tilt detection and geometric correction method based on image recognition

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Embodiment Construction

[0029] Below in conjunction with the accompanying drawings and specific embodiments, the technical solutions of the present invention are described in further detail:

[0030] The present invention is an invoice tilt detection and geometric correction method based on image recognition, such as figure 1 shown, including the following specific steps:

[0031] First, place the invoice on a solid-color and strip-free background, and capture the RGB image A of the invoice through an image capture device.

[0032] Then, grayscale processing is performed on the RGB image A: the algorithm of weighted averaging of the R, G, and B components of the image A is used to convert the RGB image A into a grayscale image B, such as figure 2 shown.

[0033] Next, the grayscale image B is binarized:

[0034] Set a threshold P threshold ∈(0.2, 0.9), and threshold the grayscale image B. Where the pixel value in grayscale image B is greater than P threshold , then turn it into white (255), ot...

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Abstract

The invention discloses an invoice tilt detection and geometric correction method based on image recognition, which aims at detecting a tilt angle of an invoice image. The invoice tilt detection and geometric correction method comprises the steps of: utilizing image acquisition equipment to acquire an invoice image, and performing grayscale processing on the acquired invoice image to obtain a grayscale image; then converting the grayscale image into a binary image, performing edge detection on the binary image of an invoice by utilizing a Sobel operator to obtain an edge image of the invoice;and finally adopting Hough transform on the edge image of the invoice, detecting the longest straight line in the invoice, calculating an invoice tilt angle, and rotating the invoice image to obtain the corrected invoice image. through introducing the Sobel operator and Hough transform in the field of image processing, the invoice tilt detection and geometric correction method can detect the tiltangle of invoice image precisely, carries out geometric correction on the invoice according to the tilt angle, solves the problem that invoice cannot be recognized properly because of the tilt of invoice during invoice recognition, can be applied to various kinds of invoices, and has high application value in intelligent financial reimbursement.

Description

technical field [0001] The invention relates to an invoice inclination detection and geometric correction method based on image recognition, and belongs to the fields of image processing and artificial intelligence. Background technique [0002] With the rapid development of social economy, the usage of invoices in my country is increasing day by day. At present, hundreds of millions of invoices are used for reimbursement in my country every year, and there is an upward trend. But now most of the invoice reimbursement work is done manually. Manual reimbursement of invoices is inefficient, the reimbursement process is long, time-consuming, and the error rate is extremely high. Manual reimbursement of invoices not only increases the workload of the financial staff, but also takes up a lot of extra energy of the reimburser, and will increase the production cost of the enterprise. [0003] In recent years, with the rapid development of image processing and computer vision tec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32G06K9/46G06K9/00
CPCG06V30/412G06V10/243G06V10/44G06V10/48
Inventor 桂冠王禹熊健杨洁范山岗张海军
Owner NANJING UNIV OF POSTS & TELECOMM
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