Identification of Fake VS Original logos using Deep Learning
Main Article Content
Abstract
Logo or trademark conveys the significance of an organization or a product. In view of determining of the authenticity of a logo, a precise extraction of features is crucially important for any automated recognition system to succeed. Here in this proposed work, identification of fake logos are done by fusion based approach of features from SIFT and SURF which considerably does better compared to the existing methods.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.