Open AccessImage retrieval using locality preserving projections
Author(s) -
Putchanuthala Ramesh Babu,
Reddy E. Sreenivasa
Publication year - 2020
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2020.0036
Subject(s) - computer science , image retrieval , locality , pattern recognition (psychology) , artificial intelligence , principal component analysis , image (mathematics) , visual word , data mining , philosophy , linguistics
In web surfing, image retrieval algorithms play a vital role. Many algorithms are existing but they have their drawbacks and also low retrieval rates. Locality preserving projections is a novel method for image retrieval proposed in this study. As the method includes principal component analysis, nearest neighbour and eigen features in extracting the hyper parameters for classification, it has better retrieval rate. This novel approach is tested using the Yale facial image dataset and the performance of the algorithm is tested by using different classifiers like Decision Tree etc.