Next Article in Journal
Real-Time Impedance Monitoring During Electroporation Processes in Vegetal Tissue Using a High-Performance Generator
Next Article in Special Issue
A Microservices e-Health System for Ecological Frailty Assessment Using Wearables
Previous Article in Journal
Assessing the Quality of Heart Rate Variability Estimated from Wrist and Finger PPG: A Novel Approach Based on Cross-Mapping Method
Previous Article in Special Issue
Emulating and Evaluating Virtual Remote Laboratories for Cybersecurity
Open AccessArticle

A Very High-Speed Validation Scheme Based on Template Matching for Segmented Character Expiration Codes on Beverage Cans

Institute for Cybernetics, Campus de Tafira, Las Palmas de Gran Canaria, University of Las Palmas de Gran Canaria, 35017 Las Palmas, Spain
*
Author to whom correspondence should be addressed.
This Paper Is an Extended Version of Rodríguez-Rodríguez, J.C.; Blasio, G.S.; García, C.R.; Quesada-Arencibia, A. A Character Validation Proposal for High-Speed Visual Monitoring of Expiration Codes on Beverage Cans. In Proceedings of the 13th International Conference on Ubiquitous Computing and Ambient Intelligence UCAmI 2019, Toledo, Spain, 2–5 December 2019.
Sensors 2020, 20(11), 3157; https://doi.org/10.3390/s20113157
Received: 5 May 2020 / Revised: 29 May 2020 / Accepted: 31 May 2020 / Published: 2 June 2020
(This article belongs to the Special Issue Selected Papers from UCAmI 2019)
This paper expands upon a previous publication and is the natural continuation of an earlier study which presented an industrial validator of expiration codes printed on aluminium or tin cans, called MONICOD. MONICOD is distinguished by its high operating speed, running at 200 frames per second and validating up to 35 cans per second. This paper adds further detail to this description by describing the final stage of the MONICOD industrial validator: the process of effectively validating the characters. In this process we compare the acquired shapes, segmented during the prior stages, with expected character shapes. To do this, we use a template matching scheme (here called “morphologies”) based on bitwise operations. Two learning algorithms for building the valid morphology databases are also presented. The results of the study presented here show that in the acquisition of 9885 frames containing 465 cans to be validated, there was only one false positive (0.21% of the total). Another notable feature is that it is at least 20% faster in validation time with error rates similar to those of classifiers such as support vector machines (SVM), radial base functions (RBF), multi-layer perceptron with backpropagation (MLP) and k-nearest neighbours (KNN). View Full-Text
Keywords: image processing; optical character recognition; OCR; pattern recognition; industrial inspection; very high-speed computing; character segmentation; tracking; template matching; supervised learning; unsupervised learning image processing; optical character recognition; OCR; pattern recognition; industrial inspection; very high-speed computing; character segmentation; tracking; template matching; supervised learning; unsupervised learning
Show Figures

Graphical abstract

MDPI and ACS Style

Rodríguez-Rodríguez, J.C.; de Blasio, G.S.; García, C.R.; Quesada-Arencibia, A. A Very High-Speed Validation Scheme Based on Template Matching for Segmented Character Expiration Codes on Beverage Cans. Sensors 2020, 20, 3157.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop