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  4. Seven Segment Display Detection and Recognition using Predefined HSV Color Slicing Technique
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Seven Segment Display Detection and Recognition using Predefined HSV Color Slicing Technique

Author(s)
Popayorm, Sorawee
Titijaroonroj, Taravichet
Phoka, Thanathorn
Massagram, Wansuree
Date Issued
July 1, 2019
Type
Conference Paper
DOI
10.1109/JCSSE.2019.8864189
Abstract
Detection and recognition of LED seven segment panels present a particular challenge of locating characters among background clutter. This study proposed a framework based on a predefined HSV color slicing technique. The results demonstrate the framework's superiority over other color slicing methods with 94.46% precision, 92.24% recall, and 87.17% accuracy rates. The digit detection and recognition with the proposed predefined HSV color slicing is simple and straightforward-making it an attractive solution for the future deployment for edge-computing.
Citation
Jcsse 2019 16th International Joint Conference on Computer Science and Software Engineering Knowledge Evolution Towards Singularity of Man Machine Intelligence, 224-229, 2019
Subjects

edge-computing

Predefined HSV color ...

seven segment display...

seven segment number ...

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