New image filtering technique combining a wavelet transform with a linear neural network: application to face recognition

2000 ◽  
Vol 39 (11) ◽  
pp. 2894 ◽  
Author(s):  
Fan Yang
Keyword(s):  
Neural Network ◽  
Face Recognition ◽  
Wavelet Transform ◽  
Image Filtering ◽  
Filtering Technique ◽  
Network Application ◽  
Linear Neural Network

Face Recognition Based on Wavelet Neural Network

2011 ◽  
Vol 204-210 ◽  
pp. 216-219
Author(s):  
Hong Zhang
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Face Recognition ◽  
Wavelet Transform ◽  
Recognition Rate ◽  
Human Face ◽  
Recognition Method ◽  
Human Face Recognition ◽  
The Face ◽  
Simulation Testing

It's well known that the technology of human face recognition has become a hot topicin pattern recognition field. Though a lot of progress has been made by many researchersthese years, many key problems still have to be solved in order to popularize the application of face recognition because of the complexity of face recognition. The background, development and main methods of face recognition are introducedfirstly in this paper, then a face recognition method which is based on wavelet transform,KL transform and BP neural networks is used in the paper.Here the face feature extraction includes wavelet transform and KL transform.Moreover,the recognition classifier is BP neural networks.The simulation testing in the paper holds good recognition rate.

Recurrent neural network application to image filtering: 2-D Kalman filtering approach

1991 ◽  
Author(s):  
Roman W. Swiniarski ◽  
Andrzej Dzielinski ◽  
Slawomir Skoneczny ◽  
Michael P. Butler
Keyword(s):  
Neural Network ◽  
Kalman Filtering ◽  
Recurrent Neural Network ◽  
Image Filtering ◽  
Network Application ◽  
Filtering Approach
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