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 Vašíček, Vojtěch ; Vaško, Marek (referee) ; Nguyen, Son Hai (advisor)
The aim of this work is to evaluate the current methods of barcode detection in images, test several selected methods and then design and implement improvements to some of these methods. In this work, the Scharr detection method, the OpenCV library detector and the YOLOv5 neural network were tested. The enhancement itself was performed by combining the YOLOv5 neural network and the OpenCV library barcode detector. The combined method was able to achieve an improvement in average precision at a threshold of 0.5 of 3.42% over the YOLOv5 method and 38.38% over the OpenCV library barcode detector.
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See also: similar author names
2 Vašíček, Václav
1 Vašíček, Vít
1 Vašíček, Vít Bc.
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