Image Retrieval Using Locality Preserving Projections: A Recent Study

Authors

  • Ramesh Babu Putchanuthala College of Engineering & Technology, Acharya Nagarjuna University, Guntur, India.
  • E. Sreenivasa Reddy College of Engineering & Technology, Acharya Nagarjuna University, Guntur, India.

DOI:

https://doi.org/10.9734/bpi/nper/v7/1945A

Keywords:

Image retrieval, locality preserving projections, higher retrieval rate

Abstract

Image retrieval algorithms are important in web surfing. There are many algorithms available, but they all have disadvantages and low retrieval rates. This work proposes a novel method for image retrieval called locality preserving projections (LPPs).The benefits of the LPP approach are that LPP is a linear technique that retains the image space’s local info. The method has a higher retrieval rate since it uses principal component analysis, nearest neighbour, and eigen features to extract hyper parameters for classification. This unique approach is tested using the Yale facial image dataset, and the algorithm's performance is evaluated using several classifiers such as Decision Tree.

Published

2022-02-14

How to Cite

Ramesh Babu Putchanuthala, & E. Sreenivasa Reddy. (2022). Image Retrieval Using Locality Preserving Projections: A Recent Study. Novel Perspectives of Engineering Research Vol. 7, 88–97. https://doi.org/10.9734/bpi/nper/v7/1945A