[PDF] Top 20 A STUDY OF FACE RECOGNITION TECHNIQUES

... Gabor wavelets are biologically motivated convolution kernels in the shape of plan waves restricted by a Gaussian envelop function, the set of convolution coefficients for kernels of different orientations and ... See full document

... to study various algorithm which play important role in development of face recognition ...comprehensive study and attempted to survey all relevant and influential algorithms in simpler ...in ... See full document

... four face recognition ...the face [18]. Generally, face recognition consists of detection and ...a face in the inputted data [2]. And recognition happens when the system ... See full document

... based face recognition ...input face images into a small set of characteristic feature images called ‘Eigen faces’ which are actually the principal components of the initial training set of ... See full document

... of face recognition is mainly to identify a person, as a key to security (Biometric face recognition technology) and a wide variety of applications such as identification for law enforcement, ... See full document

... in face recognition field. Present study exposes that face recognition algorithm can be enhanced using hybrid methods for better ... See full document

... Face recognition is considered as one of the emerging topics in computer vision ...automated face recognition in various applications such as surveillance application in various public ... See full document

... Comparative study of numeroustechniques for face recognition is ...Jones face detection gives real time performance as well as tracks multiple faces in an ...these techniques, ... See full document

... a face against the template face images whose identity is to be ...claimed. Face identification is 1:N problem that compares a query face image against all image templates in face ... See full document

... the recognition rate for PDBNN is 96% in real time for limited ...the recognition rate goes down for large data set due to the increased computational ...for face detection are based on the ... 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

... 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

... extracted face features are stored in a database during the enrollment and then matched against other features to provide enough matching information for the decision ...many techniques can be used to match ... See full document

... Abstract- Face recognition presents a challenging problem in the field of image analysis and computer ...a face recognition system. In case of face recognition application, to ... See full document

... statistical techniques. These techniques are based on the physiological or behavioural ...different techniques which are supported by the biometric such as iris recognition, finger print ... 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

... 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

... 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

... acceptable face recognition success rate in comparison with very famous face recognition algorithms such as PCA and ...appearance–based techniques such as Modified PCA (MPCA) and ... See full document

... vision face recognition system which uses stereo camera to detect and recognize a person’s ...2D face recognition techniques by additionally considering the facial 3D surface, which is ... See full document