Glass Packaged Mineral Water Recognition System Based On Logo Using The Histogram Of Oriented Gradients Method

Lina; Fundroo Orlando; Gloria Valerie Lao; Billy Marcelino; Jerry Ruslim

doi:10.47709/cnahpc.v6i1.3199

Authors

Lina Universitas Tarumanagara
Fundroo Orlando Universitas Tarumanagara
Gloria Valerie Lao Universitas Tarumanagara
Billy Marcelino Universitas Tarumanagara
Jerry Ruslim Universitas Tarumanagara

DOI:

10.47709/cnahpc.v6i1.3199

Keywords:

Euclidean Distance, Histogram Of Oriented Gradients, K- Nearest Neighbor, Opencv, Logo Recognition, Python.

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Abstract

Application of Glass Packaged Mineral Water Recognition System Based on Logo Using Method Histogram of Oriented Gradients is an application program used to introduce brands or logos of glass bottled mineral water. This application was designed on the Windows operating system and uses Python and Open CV software. The methods used in this design are Histogram of Oriented Gradients as a method for feature extraction, Method Euclidean Distance as a method for measuring similarity distance, and k-Nearest Neighbor as a method of recognizing a logo or brand. The average accuracy of the test is 13.575%.

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