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.
The code is free to use for academic researches. All publications which use our resource should acknowledge and reference to
- S. Popayorm, T. Titijaroonroj, T. Phoka and W. Massagram, “Seven Segment Display Detection and Recognition using Predefined HSV Color Slicing Technique,” 2019 16th International Joint Conference on Computer Science and Software Engineering (JCSSE), Chonburi, Thailand, 2019, pp. 224-229.
It can be downloaded below.
Please contact Dr. Taravichet Titijaroonroj (taravichet@it.kmitl.ac.th) if you have any questions or comments about it.