Open AccessJournal Article
Face Recognition based on PCA and DCT Combination Technique
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TLDR
A simple and fast face recognition system on the basis of feature extraction using Principal Component Analysis (PCA) is proposed, a classical and successful method of dimension reduction and the discrete cosine transform paper (DCT) is a well know compression technique.Abstract:
Face recognition is one of the most successful applications of image analysis and understanding and has gained much attention in recent years. Face Recognition is a computer based application which detects the faces of different persons for authentication and various other purposes. It has separate applications from the fingerprint and iris recognitions. There are various successful techniques are purposed so far as Holistically methods and Discrete Cosine Transform (DCT). In this paper, we purpose a simple and fast face recognition system on the basis of feature extraction using Principal Component Analysis (PCA) is a classical and successful method of dimension reduction and the discrete cosine transform paper (DCT) is a well know compression technique. This paper proposes for improving the recognition rate of the face recognition system. The main advantage of this technique is increase the efficiency and implementation easier, high speed and better recognition rate .read more
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References
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Journal ArticleDOI
Independent Comparative Study of PCA, ICA, and LDA on the FERET Data Set
TL;DR: The aim of this paper is to present an independent, comparative study of three most popular appearance‐based face recognition projection methods in completely equal working conditions regarding preprocessing and algorithm implementation.
Journal ArticleDOI
Face recognition based on PCA image reconstruction and LDA
TL;DR: A novel method based on PCA image reconstruction and LDA for face recognition is proposed, where the inner-classes covariance matrix for feature extraction is used as generating matrix and eigenvectors from each person are obtained, then the reconstructed images are obtained.
Journal ArticleDOI
Design of face recognition algorithm using PCA -LDA combined for hybrid data pre-processing and polynomial-based RBF neural networks: Design and its application
TL;DR: The design methodology and resulting procedure of the proposed P-RBF NNs, a polynomial-based radial basis function neural networks, helps construct a solution to high-dimensional pattern recognition problems.
Proceedings ArticleDOI
Automatic Face Recognition System by Combining Four Individual Algorithms
TL;DR: A face recognition systems based on one combination of four individual techniques namely Principal Component Analysis (PCA), Discrete Cosine Transform (DCT), Template Matching using Corr and Partitioned Iterative Function System (PIFS), which fuse the scores of all of these four techniques in a single face recognition system.
Journal Article
Face recognition using edge information and dct
TL;DR: This manuscript presents a face identification method based on the theory of Sobel Local Binary Pattern and Laplacian filters edge detectors to represent face images with enriched information and shows better results as compared to previously developed face recognition methods.