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Online detection method of mechanical-bearing annular-distributed pressed character

A detection method and bearing technology, applied in the field of character recognition, can solve problems such as difficult character processing and recognition

Active Publication Date: 2012-09-12
JIANGNAN UNIV +1
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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the circularly distributed characters are difficult to process and recognize, and to provide an online detection method for the circularly distributed embossed characters on the mechanical bearing, so as to realize the automatic recognition of the bearing embossed characters and facilitate the installation of the bearing. production and management

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  • Online detection method of mechanical-bearing annular-distributed pressed character
  • Online detection method of mechanical-bearing annular-distributed pressed character
  • Online detection method of mechanical-bearing annular-distributed pressed character

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Embodiment Construction

[0058] The present invention will be further described below in conjunction with drawings and embodiments.

[0059] figure 1 Shown is a flow chart of the implementation of the present invention, which mainly includes three main steps involved in the present invention: preprocessing, feature extraction, and identification. The preprocessing mainly includes: binarization, center positioning, character area positioning, and character area correction. The preprocessing step corrects the circularly distributed characters to be horizontal, which solves the problem that the bearing ring characters are difficult to process and recognize. The feature extraction part is to extract the improved outline hierarchical features of the normalized characters. The recognition part is divided into offline training and online recognition. After offline training, the trained support vector machine model is obtained, and this model is used for online recognition.

[0060] The identification schem...

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Abstract

The invention relates to an online detection method of a pressed character distributed annularly on a mechanical bearing. The method is characterized by: firstly, carrying out binarization on a filed and on-line collected bearing grayscale image, using improved random circle detection algorithm to accurately and rapidly locate a circle center position of the bearing; then, taking the bearing center as an original point to establish a polar coordinate system, using a projection algorithm to find a character area on an bearing ring, and using an affine transformation method to correct character ring distribution to horizontal distribution; finally, extracting an outline level characteristic to the normalized character and using a support vector machine to carry out training and identification so as to realize the on-line detection of the mechanical-bearing annular-distributed pressed character. The method has the following advantages that: by using the processing method, burrs generated during a transformation process can be effectively reduced, and transformed image quality is good.

Description

technical field [0001] The invention relates to the field of character recognition, in particular to an online detection method for circularly distributed embossed characters of mechanical bearings. Background technique [0002] With the continuous improvement of the degree of industrial automation production, in order to improve production efficiency and reduce labor costs, it has become an inevitable requirement for enterprises to adopt more intelligent production and management methods. Applying character recognition technology to industrial production, by identifying the identification code with specific meaning on the surface of the product, it is very convenient to realize the automation of industrial production and the intelligentization of product management. If the identification code of the product is identified by human eyes, it will not only increase the labor cost, but also have a greater probability of false detection, which has greater limitations. In additio...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/46
Inventor 白瑞林高保平吉峰李杜
Owner JIANGNAN UNIV
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