TELKOMNIKA Telecommunication, Computing, Electronics and Control 
Vehicle logo recognition using histograms of oriented gradient descriptor and sparsity score
    
    
    Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control 
Vehicle logo recognition using histograms of oriented gradient descriptor and sparsity score
            Vehicle logo recognition using histograms of oriented gradient descriptor and sparsity score
Subject
Feature selection, HOG descriptor, Image classification, Sparsity score, Vehicle logo recognition
            Description
Most of vehicle have the similar structures and designs. It is extremely
complicated and difficult to identify and classify vehicle brands based on their structure and shape. As we require a quick and reliable response, so vehicle logos are an alternative method of determining the type of a vehicle. In this paper, we propose a method for vehicle logo recognition based on feature selection method in a hybrid way. Vehicle logo images are first characterized by Histograms of Oriented Gradient descriptors and the final features vector are then applied feature selection method to reduce the irrelevant information. Moreover, we release a new benchmark dataset for vehicle logo recognition and retrieval task namely, VLR-40. The experimental results are evaluated on this database which show the efficiency of the proposed approach.
            complicated and difficult to identify and classify vehicle brands based on their structure and shape. As we require a quick and reliable response, so vehicle logos are an alternative method of determining the type of a vehicle. In this paper, we propose a method for vehicle logo recognition based on feature selection method in a hybrid way. Vehicle logo images are first characterized by Histograms of Oriented Gradient descriptors and the final features vector are then applied feature selection method to reduce the irrelevant information. Moreover, we release a new benchmark dataset for vehicle logo recognition and retrieval task namely, VLR-40. The experimental results are evaluated on this database which show the efficiency of the proposed approach.
Creator
Kittikhun Meethongjan, Thongchai Surinwarangkoon, Vinh Truong Hoang
            Source
DOI: 10.12928/TELKOMNIKA.v18i6.16133
            Publisher
Universitas Ahmad Dahlan
            Date
October 2020
            Contributor
Sri Wahyuni
            Rights
ISSN: 1693-6930
            Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
            Format
PDF
            Language
English
            Type
Text
            Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control 
            Files
Collection
Citation
Kittikhun Meethongjan, Thongchai Surinwarangkoon, Vinh Truong Hoang, “TELKOMNIKA Telecommunication, Computing, Electronics and Control 
Vehicle logo recognition using histograms of oriented gradient descriptor and sparsity score,” Repository Horizon University Indonesia, accessed October 31, 2025, https://repository.horizon.ac.id/items/show/4174.
    Vehicle logo recognition using histograms of oriented gradient descriptor and sparsity score,” Repository Horizon University Indonesia, accessed October 31, 2025, https://repository.horizon.ac.id/items/show/4174.