A Principal Component Analysis Method for Recognition of Human Faces: Eigenfaces Approach
Journal Title: International Journal of Electronics Communication and Computer Technology - Year 2012, Vol 2, Issue 3
Abstract
Facial recognition is a biometric method of identifying a person based on a picture of their face. Facial recognition system is very much important for security, surveillance and in forensics. In this paper, a face recognition system based on eigenfaces approach of Principal Component Analysis (PCA) is proposed. The eigenfaces approach based on PCA is a very accurate method of facial recognition problem as lot of features can be extracted and all of the data of the image is analyzed together without leaving any of the information. This approach is preferred in pattern recognition tasks due to its simplicity, speed and learning capability. The relevance of eigenfaces in transmission and reception of data in communication field is also experimentally analyzed.
Authors and Affiliations
Shemi P M| Department of Electronics, M E S College, Marampally, Aluva, Ernakulam, India shemipm@yahoo.com, Ali M A| Department of MCA, Government Engineering College, Thrissur, India alima1965@yahoo.com
Keywords
Related Articles
- EP ID EP8290
- DOI -
- Views 448
- Downloads 20
A Survey: Feature Extraction Methods for Iris Recognition
The biometrics is the study of physical traits or behavioral characteristics of human include items such as finger prints, face, hand geometry, gait, keystrokes, voice and iris. Among the biometrics, iris has highly accu...
Atmospheric Turbulence and Pointing Errors Effects in the Performance Matrices of Wireless Optical Links
The average channel capacity and bit error rate parameters of free space optical link under atmospheric turbulence modelled by Gamma-Gamma distribution and Kdistribution respectively with pointing error effects has bee...
Design of Pulse Triggered FlipFlop for Low Power Applications
Most important challenge in modern VLSI design along with area and speed is the power consumption. Flip flop is the basic element in digital system which plays very important role. In this paper, a low power pulse tri...
Dynamic Cluster Based Data Aggregation in WSN (FDDA)
WSN consisting of a large number of small sensors with low-power transceivers can be an effective tool for gathering data in a variety of environments. As sensor nodes are deployed in sensing field, they can help people...
Space Time Block Coding for MIMO Systems With Low Decoding Complexity
MIMO systems with multiple antenna elements at both link ends are an efficient solution for future wireless communications systems as they provide high data rates by exploiting the spatial domain under the constraints of...