[PDF] Top 20 Enhancing Performance of Face Recognition System Using Independent Component Analysis

... based recognition is better than other methods as an individual’s biological traits cannot be misplaced, forged, forgotten and ...stolen. Face recognition is one such method used to recognize any ... See full document

... ABSTRACT: Face recognition has received important attention due of its various applications in security, access control, computer entertainment, surveillance, law enforcement and Internet ...popularity, ... See full document

... perform face recognition, is an area of research that is still active as the various characteristics of face is not yet fully ...of face detection new methods for detecting human faces ... See full document

... a system using video camera that will work with real time face ...36 face images of 18 persons of ETE-07 series, RUET but in future we would like to work with huge ...size face image ... See full document

... Real-Time Face Recognition System in which they design full face detection and recognition system on FPGA vertex ...the face recognition problem as an intrinsically ... See full document

... fingerprints, face, iris pattern, ...a face image depends very much on illumination type, illumination level, detector array resolution, noise levels, etc ... See full document

... proposed face recognition system operates on 128 x 128 x 8, HIPS formatted image ...on face images, there exists the "pre-processing" ...every face image to 128 x 128 (if ... See full document

... today, face detection remains a challenge because of dissimilarity in facade, illumination and ...view face images. The proposed system, when completed will serve as a useful reference material in ... See full document

... palmprint recognition from ...is independent of hand pose and the lighting ...the system with both PolyU database as well as by capturing palm images of twenty ...the system performance ... See full document

... texture analysis using bank of Gabor filters to capture both local and global details in an iris and get the feature value as the Average Absolute Deviation (AAD) of each filtered image constitutes the ... See full document

... for face recognition algorithms, PCA and LDA were ...implemented using MATLAB and the performance was determined in terms of the recognition accuracy and the execution time ...input ... See full document

... Principal Component Analysis - Artificial Neural Network technique, PCA is used during the feature extraction phase since it is found to be the simple and popular technique used for feature ...nonlinear ... See full document

... Face recognition systems are very useful in many applications such as surveillance, biometrics and ...Principal Component Analysis (PCA) has also been used in some important applications, ... See full document

... . LDA is similar to Principal Component Analysis (PCA). In both PCA and LDA there is linear combinations of the variables which explain the given data well. LDA explicitly attempts to model the difference ... See full document

... block using the standard quantization matrix which is followed by computation of the entropy estimate for each pixel of the DCT transformed ...individual face. Unlike the traditional component ... See full document

... Available Online at www.ijpret.com 403 system, consists of 10 objects with each having 10 poses(includes lightening conditions also).means there are 100 face images for training purpose. And for the testing ... See full document

... to system can login directly on face recognition, and a picture of an unrecognized user can be sent to the admins mobile, who can grant or deny access ...the system and restrict system ... See full document

... a face recognition approach that can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to those of known ...this system is motivated by ... See full document

... in face detection and recognition [5] as it’s a best way for person identification [6] because it doesn’t require human cooperation [7] and a simple approach to extracting the information content in an ... See full document

... Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) are two foremost methods used for feature extraction and feature selection in the appearance-based ...with face images ... See full document