Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52563
Title: A character segmentation proposal for high-speed visual monitoring of expiration codes on beverage cans
Authors: Rodríguez-Rodríguez, José C. 
Quesada-Arencibia, Alexis 
Moreno-Díaz, Roberto 
García, Carmelo R. 
UNESCO Clasification: 120304 Inteligencia artificial
220990 Tratamiento digital. Imágenes
Keywords: Character segmentation
Image processing
Industrial inspection
OCR (Optical character recognition)
Pattern recognition, et al
Issue Date: 2016
Journal: Sensors 
Abstract: Expiration date labels are ubiquitous in the food industry. With the passage of time, almost any food becomes unhealthy, even when well preserved. The expiration date is estimated based on the type and manufacture/packaging time of that particular food unit. This date is then printed on the container so it is available to the end user at the time of consumption. MONICOD (MONItoring of CODes); an industrial validator of expiration codes; allows the expiration code printed on a drink can to be read. This verification occurs immediately after printing. MONICOD faces difficulties due to the high printing rate (35 cans per second) and problematic lighting caused by the metallic surface on which the code is printed. This article describes a solution that allows MONICOD to extract shapes and presents quantitative results for the speed and quality.
URI: http://hdl.handle.net/10553/52563
ISSN: 1424-8220
DOI: 10.3390/s16040527
Source: Sensors (Switzerland)[ISSN 1424-8220],v. 16 (527)
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