Improved Face Recognition with Multilevel BTC using Kekre’s LUV Color Space
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 1
Abstract
The theme of the work presented in the paper is Multilevel Block Truncation Coding based Face Recognition using the Kekre’s LUV (K’LUV) color space. In [1], Multilevel Block Truncation Coding was applied on the RGB color space up to four levels for face recognition. The experimental results showed that Block Truncation Coding Level 4 (BTC-level 4) was better as compared to other BTC levels of RGB color space. Results displaying a similar pattern are realized when the K’LUV color is used. It is further observed that K’LUV color space gives improved results on all four levels.
Authors and Affiliations
H. B. Kekre , Dr. Sudeep Thepade , Sanchit Khandelwal , Karan Dhamejani, , Adnan Azmi
Keywords
Related Articles
- EP ID EP103231
- DOI -
- Views 88
- Downloads 0
Sentiment Analysis on Twitter Data using KNN and SVM
Millions of users share opinions on various topics using micro-blogging every day. Twitter is a very popular micro-blogging site where users are allowed a limit of 140 characters; this kind of restriction makes the users...
AES-Route Server Model for Location based Services in Road Networks
The now ubiquitous use of Location based services (LBS), within the mobile computing domain, has enabled users to receive accurate points of interest (POI) to their geo-tagged queries. While location-based services provi...
Estimating Evapotranspiration using Machine Learning Techniques
The measurement of evapotranspiration is the most important factor in irrigation scheduling. Evapotranspiration means loss of water from the surface of plant and soil. Evaporation parameters are being used in studying wa...
Grid Color Moment Features in Glaucoma Classification
Automated diagnosis of glaucoma disease is focused on the analysis of the retinal images to localize, perceive and evaluate the optic disc. Clinical decision support system (CDSS) is used for glaucoma classification in h...
A Novel Efficient Forecasting of Stock Market Using Particle Swarm Optimization with Center of Mass Based Technique
This paper develops an efficient forecasting model for various stock price indices based on the previously introduced particle swarm optimization with center mass (PSOCOM) technique. The structure used in the proposed pr...