Novel Relevance Feedback Approach for Color Trademark Recognition Using Optimization and Learning Strategy

Novel Relevance Feedback Approach for Color Trademark Recognition Using Optimization and Learning Strategy

The trademark registration process, apparent in all organizations nowadays, deals with recognition and retrieval of similar trademark images from trademark databases. Trademark retrieval is an imperative application area of content-based image retrieval. The main challenges in designing and developi...

Full description

Bibliographic Details
Main Authors: Pinjarkar Latika, Sharma Manisha, Selot Smita
Format: Article
Language:English
Published: De Gruyter 2018-01-01
Series:Journal of Intelligent Systems
Subjects:
content-based image retrieval (cbir)
particle swarm optimization
relevance feedback
self-organizing map (som)
trademark
Online Access:https://doi.org/10.1515/jisys-2017-0022

Internet

https://doi.org/10.1515/jisys-2017-0022

Similar Items