[PDF] Top 20 Face Recognition Techniques: A Survey for Forensic Applications

... Schapire (1995)[15], AdaBoost is an improvement on the many previous boosting approaches. It is a meta-algorithm in a way that it uses some other weak classification algorithm to build a series of classifiers and combine ... See full document

... the face recognition techniques in di erent areas like person identification, authentication, gender classification, person counting and so ...of face recognition method is to point out ... See full document

... vision applications like access control, public security and video surveillance face recognition plays an important ...role. Face recognition [1], [2] is mainly used to identify or ... See full document

... Fisher face method uses the class membership information and develops a set of feature vectors in which variations of different faces are emphasized while different instances of faces due to illumination ... See full document

... outputs of mono-modal systems. In both studies, they concluded that the performance of the system increased when both modalities were used together.Yoshitomi et al. proposed a multimodal system that not only considers ... See full document

... few recognition techniques and have analysed some of the work done on these ...other techniques is also very useful as by using DWT we can get noise free images and it decomposes the image that can ... See full document

... pattern recognition approaches are used to match the faces at the ...extraction techniques make use of Hough transform [5], Deformable templates [6] and morphological processing operations ...these ... 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

... Face recognition presents a challenging problem in the field of image analysis and computer vision, and as such has received a great deal of attention over the last few years because of its many ... See full document

... Face recognition presents a challenging problem in the field of image analysis and computer vision, and as such has received a great deal of attention over the last few years because of its many ... See full document

... a survey of various techniques for face, palm vein recognition and fusion of both the modalities was pre- ...on face recognition has good user acceptability and such systems have ... See full document

... of face specific features, face recognition algorithms and implementation of face recognition on FPGA are ...the face data set used for experimental analysis in the face ... See full document

... the face recognition in combination with their respective artificial intelligence technologies for providing the security to various devices and also for handling various kinds of the security related ... See full document

... Abstract: Face recognition techniques has evolved as importance and interest research ...area. Face recognition is a specific pattern recognition technique in digital im- age ... 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 ... See full document

... security. Face recognition has been a fast growing, challenging and interesting area in real time ...applications. Face biometrics are useful for a person’s authentication. Face ... See full document

... Abstract-Face recognition from under uncontrolled environment is still a big unsolved ...Robust Face Recognition is needed today, because it has main role bio ...security. Recognition ... See full document

... Mosaicing is one of the techniques of image processing which is useful for tiling digital images. Mosaicing is blending together of several arbitrarily shaped images to form one large radio-metrically balanced ... See full document

... pattern recognition because of its high generalization performance without the need to add other knowledge ...training techniques used here are based on the principle of structure risk minimization (SRM), ... See full document

... Face recognition framework is still in test by numerous applications particularly in close perception and in security ...of face recognition utilize enormous information sets, making ... See full document