Abstract Proceedings of ICIRESM – 2019
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FAKE LOGO DETECTION
Logo detection technology enables the monitoring of logo variants on products listed on marketplaces and across social media. This allows brands to issue takedowns, alerting the market places to the presence of counterfeit products on their websites. Logo detection can play a significant role in helping you find pathways to unauthorized or counterfeit product sales. Many companies conducting business online struggle with unauthorized sales of legitimate products. This fake logo process is done by following methods. Where the preprocessor image improvement of the image data that suppresses unwilling distortions or enhances some image features important for further processing. Segmentation is an important stage of the image recognition system, because it extracts the objects of our interest, for further processing such as description or recognition. Canny edge detection which takes the picture of whole logo of full edges. Sobel which correct the error of image in finding the correct logo. SVM algorithm which is used for classification and regression.
Logo detection , Monitoring of logo variants
30/08/2019
309
19300
IMPORTANT DAYS
Paper Submission Last Date
October 20th, 2024
Notification of Acceptance
November 7th, 2024
Camera Ready Paper Submission & Author's Registration
November 1st, 2024
Date of Conference
November 15th, 2024
Publication
January 30th, 2025