Logo Detection using Machine Learning

Logo Detection using Machine Learning

Kandala Sreeja¹, I.S Harshitha Yadav², Gogu. Nagaraju³

¹CSE Department, Sreenidhi Institute of Science and Technology.

²CSE Department, Sreenidhi Institute of Science and Technology.

  ³CSE Department, Sreenidhi Institute of Science and Technology.

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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.

Key Words: KNN classifier, OpenCV, canny edge detection, feature extraction, logo detection, machine learning, computer vision.