In web surfing, image retrieval methods are crucial. There are numerous algorithms available, but each has its own set of drawbacks and low retrieval rates. This paper presents a new image retrieval approach known as locality preserving projections (LPPs). The LPP approach has the advantage of being a linear technique that keeps the picture space's local information. Because it extracts hyper parameters for classification using principal component analysis, nearest neighbour, and eigen features, the method has a greater retrieval rate. The method's performance is evaluated using multiple classifiers, including Decision Tree, and the algorithm is tested using the Yale facial picture dataset.
Author(s) Details:
Ramesh Babu Putchanuthala,
College of Engineering & Technology, Acharya Nagarjuna University,
Guntur, India.
E. Sreenivasa Reddy,
College of Engineering & Technology, Acharya Nagarjuna University,
Guntur, India.
Please see
the link here: https://stm.bookpi.org/NPER-V7/article/view/5905
No comments:
Post a Comment