An Efficient Illumination Normalization Method with Fuzzy LDA Feature Extractor for Face Recognition
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2012, Vol 2, Issue 1
Abstract
Nearest Neighbour classifier , Support Vector Machines (SVM) and Feedforward Neural Network(FFNN).The experiments were performed on the ORL (Olivetti Research Laboratory) and Yale face image databases and the results show the present method with SVM classifier outweighs other techniques applied on the same database and reported in literature.
Authors and Affiliations
Behzad Bozorgtabar, Hamed Azami
A flywheel energy storage system for an isolated micro-grid
The paper presents an investigation into the effects of integrating a Magnetically Loaded Composite (sMLC) flywheel to an isolated micro-grid. The Fair Isle is a small island located in northern Scotland, and s...
An Enhanced Security System for Web Authentication
Web authentication has low security in these days. Todays, For Authentication purpose, Textual passwords are commonly used; however, users do not follow their requirements. Users tend to choose meaningful words from...
Topologies in Unstructured Peer To Peer Networks
Abstract: The Peer-to-Peer (P2P) architectures that are most prevalent in today's Internet are decentralized and unstructured. As the peers participating in unstructured networks interconnect randomly, they rely on...
Natural Language Ambiguity and its Effect on Machine Learning
Natural language processing" here refers to the use and ability of systems to process sentences in a natural language such as English, rather than in a specialized artificial computer language such as C++. The syst...
Abrasive Jet Machining
ABSTACT: Abrasive water jet machine tools are suddenly being a hit in the market since they are quick to program and could make money on short runs. They are quick to set up, and offer quick turn-around on the mach...