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[PDF] Top 20 Optimized Face Recognition Technique based on PCA and RBF Neural Network

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Optimized Face Recognition Technique based on PCA and RBF Neural Network

Optimized Face Recognition Technique based on PCA and RBF Neural Network

... machine recognition and computer vision, face recognition using optimized Radial Basis Function (RBF) Network is a very efficient solution for the researchers working in this ... See full document

6

Face Recognition Based on DCT and RBF Neural Network

Face Recognition Based on DCT and RBF Neural Network

... compression technique for lossy image compression centers on the discrete cosine transformation ...the technique achieves good performance in reducing the dimensionality of data at a reasonable ... See full document

11

An Efficient Feature Extraction Method with Pseudo Zernike Moment in RBF Neural Network Based Human Face Recognition System

An Efficient Feature Extraction Method with Pseudo Zernike Moment in RBF Neural Network Based Human Face Recognition System

... the RBF neural net- work with the HLA learning algorithm have been ...proposed technique with the methods that used the same ORL ...information neural network (SINN) [15], convolution ... See full document

12

Review of Face Recognition Technique Using PCA and BPNN

Review of Face Recognition Technique Using PCA and BPNN

... and based upon local information. The architecture of neural network can be divided into two parts: (a) Feed-forward neural network; (b) Re-current neural ...feed-forward ... See full document

5

Acoustic Feature Extraction and Optimized Neural Network based Classification for Speaker Recognition

Acoustic Feature Extraction and Optimized Neural Network based Classification for Speaker Recognition

... speaker recognition. To overcome the limitations in speaker recognition performance, two methods are used such as the model based and feature based ...model based method is used for ... See full document

10

Principal Component Analysis(PCA) with Back
Propogation Neural Network(BPNN) for Face
Recognition System

Principal Component Analysis(PCA) with Back Propogation Neural Network(BPNN) for Face Recognition System

... the Face Recognition System (FRS) can be subdivided into three main ...is face detection-automatically face detection can be accomplished by using neural networks back ...from ... See full document

6

An Overview – Artificial Neural Network Based Advanced Face and Non-Face Recognition

An Overview – Artificial Neural Network Based Advanced Face and Non-Face Recognition

... proposed technique of the face and non-face recognition system is represented in ...input face image is gives as an input the second stage is a 2D-DCT from the discrete cosine transform ... See full document

10

Human Face Recognition Using Image Processing PCA and Neural Network

Human Face Recognition Using Image Processing PCA and Neural Network

... human face recognition system overcomes certain pitfalls of the existing human face recognition ...is based on extracting the important features of a set of human faces stored in the ... See full document

8

PCA BASED ADVANCE FACE AND NON-FACE RECOGNITION SYSTEM

PCA BASED ADVANCE FACE AND NON-FACE RECOGNITION SYSTEM

... A face authentication system based on principal component analysis and neural networks is developed in this ...of face which is essential for ...initial face image ...identification. ... See full document

9

Neural Network and Adaptive Feature Extraction Technique for Pattern Recognition

Neural Network and Adaptive Feature Extraction Technique for Pattern Recognition

... analysis PCA feature extraction to pattern recognition by using a neural network ...groups based upon the principal component analysis PCA implemented for statistical feature ... See full document

6

1.
													Efficient face recognition using  convolutional neural  networks

1. Efficient face recognition using convolutional neural networks

... new technique for face recognition with Convolutional auto-encoder (CAE) with neural ...The face recognition is the crucial step for many applications like surveillance, access ... See full document

7

Video Based Face Recognition Using Artificial Neural Network

Video Based Face Recognition Using Artificial Neural Network

... video based face recognition algorithm is based on the observation that video signature can be created by combining the large information available within multiple frames of a ...then ... See full document

7

A NOVEL APPROACH TO GENERATE DISTRIBUTED GLOBAL AND LOCAL USE CASES: A NEW 
NOTATION

A NOVEL APPROACH TO GENERATE DISTRIBUTED GLOBAL AND LOCAL USE CASES: A NEW NOTATION

... Face Recognition is one of the most important and fastest growing biometric area during the last several years and become the most successful application in image processing and broadly used in security ... See full document

7

Human Face Recognition in Video using Convolutional Neural Network (CNN)

Human Face Recognition in Video using Convolutional Neural Network (CNN)

... the face from video-based face ...crop face patches from video frame by frame and then to extract the face portion from video frames using an alignment ...the face image, but ... See full document

7

Design of radial basis function neural network controller for BLDC motor control system

Design of radial basis function neural network controller for BLDC motor control system

... The BLDC motor control system hardware structure based on DSP TMS320F28035 is shown in Fig.5, All functions including data acquisition, processing and control are achieved by TMS320F28035. Peripheral circuits ... See full document

8

A Review on Subspace Methods for Face Image Recognition

A Review on Subspace Methods for Face Image Recognition

... SVM based classification systems, the classification is done by the construction of a new hyper plane that provides maximum separation between the data item that is, the margin of the hyper plane should be ...ORL ... See full document

5

Biometric Recognition Technique for ATM System

Biometric Recognition Technique for ATM System

... In the proposed system we are trying to remove disadvantages of existing system. So security over money Transaction is our prime concern. In traditional system client has to carry debit or credit card with him to verify ... See full document

7

PCA Based Face Recognition on Reduced Dimensions

PCA Based Face Recognition on Reduced Dimensions

... Discrete Wavelet Transform (DWT) divide the wavelet transform decomposes the image into three spatial directions, i.e. horizontal, vertical and diagonal. Magnitude of DWT coefficients is larger in the lowest bands (LL) ... See full document

5

Improved PCA Based Face Recognition System

Improved PCA Based Face Recognition System

... different face edge images for face recognition ...classical PCA method for face recognition based upon the WPD which decomposes the training face image into k ... See full document

6

Prediction of Tourist Quantity Based on RBF Neural Network

Prediction of Tourist Quantity Based on RBF Neural Network

... the network to learn the number of relatively large; input nodes is too little, follow-up values can not reflect the value of the correlation between the ...of RBF neural network is 5, and the ... See full document

6

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