Open AccessThe Role and Utilization of CNN in Automatic Logo Based Document Image Retrieval Methods
Author(s) -
K Raveendra,
R. Vinoth Kanna
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.1.16786
Subject(s) - computer science , convolutional neural network , artificial intelligence , logo (programming language) , process (computing) , pattern recognition (psychology) , image retrieval , image (mathematics) , feature (linguistics) , feature extraction , computer vision , linguistics , philosophy , programming language , operating system
Automatic logo based document image retrieval process is an essential and mostly used method in the feature extraction applications. In this paper the architecture of Convolutional Neural Network (CNN) was elaborately explained with pictorial representations in order to understand the complex Convolutional Neural Networks process in a simplified way. The main objective of this paper is to effectively utilize the CNN in the process of automatic logo based document image retrieval methods.