Face Recognition Based on Wavelet Packet Coefficients and Radial Basis Function Neural Networks

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Journal of Intelligent Learning Systems and Applications

ISSN Print: 2150-8402
ISSN Online: 2150-8410
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"Face Recognition Based on Wavelet Packet Coefficients and Radial Basis Function Neural Networks"
written by Thangairulappan Kathirvalavakumar, Jeyasingh Jebakumari Beulah Vasanthi,
published by Journal of Intelligent Learning Systems and Applications, Vol.5 No.2, 2013

has been cited by the following article(s):

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[3]	Technical Challenges, Performance Metrics and Advancements in Face Recognition System
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[4]	Sorting Pixels based Face Recognition Using Discrete Wavelet Transform and Statistical Features
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[8]	Performance Evaluation of Face Recognition Based on the Fusion of Bit-Plane and Binary Image Compression Techniques Using Euclidean Distance Classifier …
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[9]	A novel hybrid approach based on principal component analysis and tolerance rough similarity for face identification
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[10]	On the performance of wavelet families in face recognition using a multilayer perceptron neural network classifier
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[11]	PENGARUH DEKOMPOSISI CITRA MENGGUNAKAN WAVELET PADA PENGENALAN WAJAH DI APLIKASI MOBILE
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[12]	Mallats Wavelet Transform for Human Face Recognition Using Artificial Neural Network
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[13]	Human Face Recognition Using Wavelet Transform And Artificial Neural Network
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[14]	Features Reduction using Wavelet and Discriminative Common Vector and Recognizing Faces using RBF
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[1]	Sorting Pixels based Face Recognition Using Discrete Wavelet Transform and Statistical Features 2019 3rd International Conference on Imaging, Signal Processing and Communication (ICISPC), 2019 DOI:10.1109/ICISPC.2019.8935675

[2]	Face Recognition Based on Windowing Technique Using DCT, Average Covariance and Artificial Neural Network 2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), 2018 DOI:10.1109/ICIIBMS.2018.8549981

[3]	On the performance of wavelet families in face recognition using a multilayer perceptron neural network classifier 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS), 2017 DOI:10.1109/ICETAS.2017.8277850

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