[PDF] Top 20 FACE RECOGNITION WITH HYBRID TECHNIQUES

... This paper proposed a cross breed preprocess of pictures. That enhanced the exactness of face recognition and acknowledgment to some degree. The technique to enormous dataset enlarge also, utilizing VGG-Net ... See full document

... many techniques can be used such as Person Identity Numbers (PINs), passwords, identity ...biometric techniques play an essential role in person ...such techniques give better results than using ... See full document

... original face images are projected into lower-dimensional face ...both face identification and ...for face recognition which shows successful result in face recognition ... See full document

... for face representation by face recognition researchers [39] [40] [41] [42] [43], because the kernels of the Gabor wavelets are similar to the 2D receptive field profiles of the mammal cortical ... See full document

... a face recognition method based on the eigenfaces representation of ...for face images purposed in last years as Linear Discriminant Analysis (LDA), Kernel methods, Evolutionary Pursuit (EP) Support ... See full document

... IJEDR1401069 International Journal of Engineering Development and Research (www.ijedr.org) 399 illumination-invariant and the measure of the same object changes when illumination changes. An illumination subspace can be ... 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

... Face recognition is a process which is used by human in daily ...automatic face recognition follows naturally. Face recognition, as one of the primary biometric technologies, ... See full document

... categories: face based and constituent based. The face based approach uses raw pixel information or features extracted from the whole image which as a representation of ...Therefore face based method ... See full document

... Human face recognition is currently a wide active research area in computer vision and pattern recognition in which the main focus is on the ways to perform robust biometric ...identification. ... See full document

... coordinated face recognition framework in light of three innovations: local contrast enhancement, adaptive feature selection and variable measurement for feature ...successful recognition rate local ... See full document

... profile face recognition techniques with its ...side face recognition are very primitive and results are not agreeable in all ...view face, some works only with clear face ... See full document

... other face details like wrinkles, dimples and scars are enhanced as key features to represent the face in higher dimensional ...of face image is robust to misalignment to some degree because it ... See full document

... Hardware-based techniques, which add some specific device to the sensor in order to detect particular properties of a living trait ...Software-based techniques, in this case the fake trait is detected once ... See full document

... A neural network is a computing framework which consists of massively parallel interconnection of flexible neural processors and because of its parallel quality it can execute computations at a very high rate as compared ... 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

... G. Support Vector Machine (SVM): SVM is a learning technique that is considered an effective method for general purpose pattern recognition because of its high generalization performance without the need to add ... See full document

... Holistic approaches employ global representations rather than local features to describe the entire image. A simple holistic approach uses 2D array of intensity values to represent the input image, followed by the direct ... See full document

... the face and includes probability density function as face ...for face recognition systems with tackling facial aging ...a face recognition system based on 3D generic elastic ... See full document

... real face images have many nonlinear characteristics that are not addressed by the linear analysis methods such as PCA and LDA—such as variations in illumination, pose, and ...the face images, we have ... See full document