Commercial oil surface laser code recognition method with self modeling function

Abstract

The invention discloses a commercial oil surface laser code recognition method with a self-modeling function. The content of the method comprises the steps that model statistics is carried out on a commercial oil laser code based on a neural network recognition algorithm, and a self modeling technology is realized; a character template image of the designated commercial oil laser code to be detected is acquired, a brain cranial nerve function of the human is simply simulated through the neural network recognition algorithm so as to realize an input-output mapping model, classification, recognition and acquisition for characters are completed, and the characters act as a template; a commercial oil laser code image is acquired, and an image processing phase of character recognition and character reading is carried out; if a matching result is that the character is qualified, the commercial oil is qualified and continuous to be transported, and if the matching result is that the character is not qualified, the unqualified commercial oil is removed by a removing device; and finally, a function of character recognition is realized, character detection for a laser barcode on the commercial oil is completed, and thus accurate detection for the commercial oil laser barcode can be achieved.

Description

technical field [0001] The invention relates to a laser marking recognition method on the surface of commodity oil with self-modeling function. Background technique [0002] OCR (Optical Character Recognition) refers to optical character recognition technology. OCR can be applied to some machine vision applications for character recognition. OCR is the process of reading characters and text in images through machine vision software. [0003] For the initial stage of OCR optical character recognition research, most of the text recognition methods are mainly studied, and the recognized text is only numbers from 0 to 9. With the continuous development of computer technology and various social technologies, through people's continuous research Innovation, OCR optical character recognition technology is also constantly developing and innovating. Now the development of OCR optical character recognition technology can realize the recognition of letters, Chinese characters, numbers...

AI Technical Summary

Problems solved by technology

For laser marking, it is generally necessary to carefully check whether it meets the standards, which is difficult for inspectors to conduct intensive inspections for a long time. At the same time, laser marking is difficult for human eyes to quickly see clearly due to the limitation of reflective conditions.

[0004] So far, although people have made many gratifying achievements in the research of character recognition, it still cannot meet our daily needs.

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