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- Title
基于机器视觉的快递面单识别.
- Authors
郭广振; 张丰收
- Abstract
In order to effectively solve the problems of high labor input cost of the sorting link, slow background information update speed and low sorting efficiency, a simultaneous positioning and recognition method of one-dimensional code and three-segment code based on machine vision was proposed. It mainly includes improving one-dimensional code positioning method and using "line scanning" to improve the decoding accuracy of one-dimensional code. Faster R-CNN target detection method was improved to achieve classification and positioning of three-segment code in different regions. The experimental results show that this method has a good recognition effect on different styles of waybill. The recognition rate and accuracy rate of bad one-dimensional code is more than 60%, the accuracy rate of three-segment code positioning in different regions reaches 98.47%, the overall recognition rate of single waybill reaches 98.03%, and the overall recognition time is between 105 ms and 146 ms. The research results can provide technical reference for efficient sorting of waybills.
- Subjects
COMPUTER vision; JOB classification; LABOR costs; PROBLEM solving; RECOGNITION (Psychology)
- Publication
Packaging & Food Machinery, 2023, Vol 41, Issue 3, p65
- ISSN
1005-1295
- Publication type
Article
- DOI
10.3969/j.issn.1005-1295.2023.03.011