First Copy Logo Detection System

Document Type : Primary Research paper

Authors

1 B.Tech ( Scholar), School of Computer Science & Engineering , Sandip University , Nashik , India

2 Assistant Professor , School of Computer Science & Engineering , Sandip University , Nashik , India

3 Professor , School of Computer Science & Engineering , Sandip University , Nashik , India

Abstract

In this paper we present a study of logo detection in images from a media agency. We compare two most widely used methods - HOG and SIFT on a challenging dataset of images arising from a printed press and news portals. Despite common opinion that SIFT method is superior, our results show that HOG method performs significantly better on our dataset. We augment the HOG method with image resizing and rotation to improve its performance even more. We found out that by using such approach it is possible to obtain good results with increased recall and reasonably decreased precision.
Int. J. of Aquatic Science
Volume 14, Issue 1
2023
Pages 322-332

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