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A Comparative Study of Suitability of Certain Features in Classification of Bharatanatyam Mudra Images Using Artificial Neural Network
Basavaraj S. Anami
,
Venkatesh A. Bhandage
*
*
Corresponding author for this work
School of Computer Engineering
Manipal Institute of Technology, Manipal
Research output
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Article
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peer-review
31
Citations (Scopus)
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Computer Science
Classification Accuracy
100%
Artificial Neural Network
100%
Image Processing
50%
Eigenvalue
50%
Convolutional Neural Network
50%
Edge Detector
50%
Learning Approach
50%
Deep Learning Method
50%
Electronic Learning
50%
INIS
classification
100%
images
100%
neural networks
100%
accuracy
40%
hands
40%
automation
40%
india
20%
applications
20%
image processing
20%
learning
20%
e-learning
20%
eigenvalues
20%
Arts and Humanities
Bharatanatyam
100%
Artificial
100%
Hand Gesture
25%
Ancient Art
25%
Biochemistry, Genetics and Molecular Biology
Artificial Neural Network
100%
Gesture
50%
Body Position
50%
Neuroscience
Artificial Neural Network
100%
Image Processing
50%
Neural Network
50%
Earth and Planetary Sciences
Artificial Neural Network
100%
Image Processing
50%