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

José C Rodríguez-Rodríguez¹, Gabriele S de Blasio¹, Carmelo R García¹

¹Institute for Cybernetics, Campus de Tafira, Las Palmas de Gran Canaria, University of Las Palmas de Gran Canaria, 35017 Las Palmas, Spain.

Sensors (Basel, Switzerland)

|June 6, 2020

Summary

This study details the MONICOD system for validating expiration codes on cans. It achieves high speed and accuracy using a novel character validation method, improving industrial inspection processes.

Keywords:

OCR character segmentation image processing industrial inspection optical character recognition pattern recognition supervised learning template matching tracking unsupervised learning very high-speed computing

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Published on: September 2, 2020

Area of Science:

Industrial Automation
Computer Vision
Quality Control

Background:

Previous work introduced MONICOD, an industrial validator for can expiration codes.
MONICOD operates at high speeds (200 frames/sec, 35 cans/sec).

Purpose of the Study:

To describe the final character validation stage of the MONICOD system.
To introduce learning algorithms for building morphology databases.
To evaluate the performance of the character validation process.

Main Methods:

Character validation using a template matching scheme based on bitwise operations ('morphologies').
Development of two learning algorithms for creating valid morphology databases.
Comparison of acquired character shapes with expected shapes.

Main Results:

A single false positive (0.21%) occurred in validating 465 cans.
Validation time is at least 20% faster compared to traditional classifiers.
Achieved error rates comparable to Support Vector Machines (SVM) and k-Nearest Neighbors (KNN).

Conclusions:

The described character validation method enhances MONICOD's accuracy and speed.
The system offers a competitive alternative to existing machine learning classifiers for expiration code validation.
MONICOD provides an efficient and reliable solution for industrial can inspection.