[PDF] Top 20 Face Recognition: A Literature Review

... decomposes face images into a small set of characteristic feature images called ...of face images. Recognition is performed by projecting a new image onto the subspace spanned by the eigenfaces ... See full document

... current face recognition techniques lies in the difficulties of handling varying poses, ...i.e., recognition of faces in arbitrary in-depth rotations. The face image differences caused by ... See full document

... Face recognition, an effective method that has a wide application especially as an identification solution that meets the desperate need in security areas ...voiceprints, face fingerprints are ... See full document

... of recognition while utilizing PCA and in addition LDA for dimensionality diminishment is by all accounts parallel as far as ...numerous face pictures notwithstanding for little ...the recognition ... See full document

... of face recognition using PCA and ICA on FERET database with different classifiers [31] [32] were discussed and found that the ICA had better recognition rate as compared with PCA with statistically ... See full document

... Eigen- face Method for the purpose of face recognition in ...which face images are decomposed into small set of characteristic feature images called as ...`Eigenfaces'. Face ... See full document

... present face credit, the standard pipeline consists of their stages: detect) align) represent) ...3D face modeling in order to apply a piecewise affine makeover, and derive a face representation from ... See full document

... Independent Component Analysis (ICA) attempts to decompose multivariate signal into non-Gaussian independent components [18, 19, 20 and 21]. Kurtosis is used in ICA to measure non-Gaussianity of signals (images). In ... See full document

... Templates have been also used as input to Neural Network (NN) based systems. Lawrence et.al proposed a hybrid neural network approach that combines local image sampling, A self organizing map (SOM) and a convolutional ... See full document

... The most influential work on neural nets in the 60's went under the heading of 'perceptrons' a term coined by Frank Rosenblatt. The perceptron turns out to be an MCP model ( neuron with weighted inputs ) with some ... See full document

... In order to identify the best individual during the evolutionary process, a function needs to assign a degree of fitness to each chromosome in every generation. So in order to determine whether the assumed region of the ... See full document

... the face detection step, human-face patches are extracted from images ...for face recognition have some disadvantages, first, each patch usually contains over 1000 pixels, which are too large ... See full document

... Face recognition is an essential piece of the ability of human discernment framework and is a standard errand for people, while building a comparable computational model of face ...at face ... See full document

... The face can be captured in an arbitrary pose in a specific environment and without any user support, so it is possible that the image contains only a partial ...forensic face identification, a suspect must ... See full document

... object recognition research face recognition is a vigorous part which the scientific communal has revealed increasing attention in past few ... See full document

... Face recognition is the very simple term; it is a process of recognizing the face of the person by a ...same face appear differently due to the changing in ... See full document

... by face recognition and ...the face into feature ...Each face can be considered as a linear combination of the ...The face can be approximated by using the eigenvectors having the ... See full document

... handwriting recognition was done by Graves ...Speech recognition got successful with an error rate of ...digit recognition in 2010 and in 2011 he developed visual pattern recognition with an ... See full document

... on face, getting some observe vector to build Hidden Markov ...realize face recognition. The advantage of this method is high recognition rate though the expression and posture changed, it ... See full document

... [3]. Khorsheed, J. A., & Yurtkan, K. (2016, May). Analysis of local binary patterns for face recognition under varying facial expressions. In 2016 24th signal processing and communication application ... See full document