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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM17310

Logo Detection using Machine Learning

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM17310

Volume:

7 |

1 |

Jan 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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.

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Authors

KS

Kandala Sreeja

IHY

I.S Harshitha Yadav

GN

Gogu. Nagaraju

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Abstract

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

KNN classifier OpenCV canny edge detection feature extraction logo detection machine learning computer vision.

Cite This Article

Kandala Sreeja, I.S Harshitha Yadav, Gogu. Nagaraju, "Logo Detection using Machine Learning," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 1, Jan 2023. https://doi.org/10.55041/IJSREM17310

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Publication Date

1/31/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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