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Document quality detection method based on computer vision

A quality inspection method and computer vision technology, applied in computer parts, computing, instruments, etc., to achieve the effect of flexibility, practicability and simple method

Active Publication Date: 2018-07-31
FUZHOU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a computer vision-based document quality detection method to overcome the existing defects in manual detection, and to solve the problem of the computer vision-based document quality detection method.

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  • Document quality detection method based on computer vision
  • Document quality detection method based on computer vision
  • Document quality detection method based on computer vision

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Embodiment Construction

[0054] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0055] Such as figure 1 As shown, the present invention provides a computer vision-based document quality detection method. A document quality detection method based on computer vision is proposed to solve the problems that the traditional manual naked eye detection is difficult, low in efficiency, poor in reliability, and greatly affected by subjectivity. In order to accurately detect the quality of the document, the method must first extract still frames from the high-speed document printing video in a reasonable way; secondly, perform appropriate image preprocessing on the document image based on the preprocessing method of computer vision; Precise contour detection and extraction of the document image; then, tilt correction is performed on the extracted document contour image, so that the deformed image becomes a normal tiled documen...

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Abstract

The invention relates to a document quality detection method based on computer vision. In view of difficulty, low efficiency, poor reliability and large subjective influence of traditional artificialnaked eye detection, a document quality detection method based on computer vision is provided. In order to accurately detect the quality of a document, the method comprises firstly performing static frame extraction on a high-speed document printing video by using a reasonable method; secondly, using a computer vision-based preprocessing method to performs appropriate image preprocessing on a document image; performing accurate contour detection and extraction on the preprocessed document; performing tilt correction an extracted document contour image so that a distorted image becomes a normally tiled document image to be detected; finally, performing PSNR and MSE quality evaluation on the image to be detected, comparing the image to be detected with a template to obtain a test result of document quality. The method has the characteristics of high efficiency, good reliability, continuity, and flexibility, and has good practical applicability.

Description

technical field [0001] The invention relates to the fields of computer vision and digital images, and applies it to document quality detection, in particular to a computer vision-based document quality detection method. Background technique [0002] With the rapid development of society in the 21st century, the rapid development and progress of industry and service industry, highly automated production has been carried out in the modern printing industry. In the service industry, due to the increasingly fierce competition among various enterprises, so The requirements for the appearance and printing quality of documents are getting higher and higher, the demand for documents is increasing, and the need to classify and organize a large number of documents has become a headache. Under the pressure of time and cost in modern printing enterprises, traditional naked eye observation can only qualitatively describe the printing quality, but cannot quantitatively describe the printi...

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Application Information

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IPC IPC(8): G06K9/20G06K9/32G06K9/44G06K9/46G06V30/40G06V10/44
CPCG06V10/22G06V10/243G06V10/34G06V10/44G06V10/48G06V30/40G06V10/993
Inventor 郭文忠张融柯逍陈羽中
Owner FUZHOU UNIV
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