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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM17310
Volume:
7 |
1 |
Jan 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Logo detection is a part of a broader family of object detection. In this paper, we discuss about the methods which help in logo detection using the python libraries like OpenCV, Sklearn, Skimage and machine learning ,computer vision techniques. In the project, we develop a model for logo detection using K nearest Neighbors classifier which detects the logo in the image and is used to predict the logo name. To detect the logo, we transform the images by removing the unwanted data like color of the image by changing it to gray color and detecting the edges of the image, resizing the image and performing feature extraction. Then we use the KNN classifier to train our model to predict the logo names.
KEYWORDS
Publication Date
1/31/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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