Intellectually combined face recognition using curvelet based principle component analysis for feature extraction and Bayesian Classifier

2011 ◽  
Author(s):  
N. Rajkumar ◽  
S. Vijayakumar ◽  
C. Murukesh
Keyword(s):  
Feature Extraction ◽  
Face Recognition ◽  
Principle Component Analysis ◽  
Component Analysis ◽  
Bayesian Classifier ◽  
Principle Component

ANALYSIS OF VOICE CUES IN RECOGNITION OF SARCASM

2019 ◽  
Vol 12 ◽  
Author(s):  
Basavaraj N Hiremath ◽  
Malini M Patilb
Keyword(s):  
Feature Extraction ◽  
Computer Program ◽  
Principle Component Analysis ◽  
Voice Recognition ◽  
Component Analysis ◽  
Recognition System ◽  
Principle Component ◽  
Whole Process ◽  
The Voice

The voice recognition system is about cognizing the signals, by feature extraction and identification of related parameters. The whole process is referred to as voice analytics. The paper aims at analysing and synthesizing the phonetics of voice using a computer program called “PRAAT”. The work carried out in the paper also supports the analysis of voice segmentation labelling, analyse the unique features of voice cues, understanding physics of voice, further the process is carried out to recognize sarcasm. Different unique features identified in the work are, intensity, pitch, formants related to read, speak, interactive and declarative sentences by using principle component analysis.

Feature extraction of underwater images using principle component analysis with image registration

2021 ◽  
Author(s):  
M. Islabudeen ◽  
P. Vigneshwaran ◽  
G. Sindhu Madhuri ◽  
B. Muthu Kumar ◽  
J. Ragaventhiran ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Image Registration ◽  
Principle Component Analysis ◽  
Component Analysis ◽  
Principle Component
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