[PDF] Top 20 Review of Face Recognition Methods

... on face recognition by this method in 1992 [8] ...the face features can be obtained and used to be recognition [9,10] ...characteristic face method .But the problems of Feature- Based ... See full document

... A recognition system is a computer application that is automatically used for identifying or verifying a person from a digital ...database. Face recognition is a natural and straight forward ... See full document

... extract face components like Nose, Lips, and ...profile face area contains only one eye and only one lip corner and a part of ...those face components. For getting the edges of the extracted ... See full document

... Face recognition have gained a great deal of popularity because of the wide range of applications such as in entertainment, smart cards, information security, law enforcement, and ...pattern ... See full document

... Human face plays an important role in our social interaction, conveying people’s identity but it is a dynamic object and has a high degree of variability in its ...variability Face Detection and face ... See full document

... A neighbor pixel has a greater or equal value to the center pixel, then a logic high bit "1" is allocated to that pixel, otherwise, it gets the logic bit "0“and produce binary output. LBP method describes ... See full document

... This face identification process is also known as one too many matching ...query face image is compared with all the template images available in the face image ...query face image features ... See full document

... a face identification algorithm which is uncaring to extensive variety in lighting bearing and outward ...specific face, under fluctuating light yet altered posture, lie in a 3D direct subspace of the high ... See full document

... 2) Deep Feature Extraction: Network Architecture. The architectures can be categorized as backbone and assembled networks,. Inspired by the extraordinary success on the ImageNet challenge, the typical CNN architectures, ... See full document

... voice recognition and hand geometry. Face Recognition is the process to identify the input test face from the stored ...dataset. Face Recognition Technology (FRT) is used in ... See full document

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

... In areas like industry, business and science [6], neural network was used for classification purpose and also applied for fault detection, market prediction, character recognition, product inspection, speech ... See full document

... Face recognition is an important part of the capability of human perception system and is a routine task for humans, while building a similar computational model of face ...on face ... 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

... most face credit ways industrialized so distant stare the sparse coding as one of the vital way, as the sparse coding models have been hindered by the tremendously luxurious computational price in the ...fast ... See full document

... A local ternary pattern (LTP)[8], another important extension of original LBP is proposed. The most important difference between the LTP and LBP is that the LTP use 3- valued codes instead 2-valued codes in the LBP. ... See full document

... In 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 maximum. ... See full document

... of methods in face recognition (Kim ...extraction methods can be adopted to construct feature vectors of these facial ...pattern recognition methods like a neural network can be ... See full document

... the face and its appearance (textural properties). A face-mask is created and its shape and appearance is modelled by the ...the face-space allows us to see the modal variation and hence to ... See full document

... like face recognition, fingerprint recognition, iris scan, and speech ...them, face detection is a very powerful tool for video surveillance, human computer interface, face ... See full document