[PDF] Top 20 A FACIAL RECOGNITION TECHNIQUE USING PRINCIPAL COMPONENT ANALYSIS

... a technique [4] for recognizing a person in a group photograph in the year ...face recognition system that recognizes individuals from the group photograph containing multiple ... See full document

... face recognition as a two-dimensional recognition ...face recognition is done by Principal Component Analysis ...(PCA).Facial recognition technique is newly ... See full document

... pattern recognition. However, by using MLPNN, training time is typically longer when complex decision regions are required, or when network have more hidden layers or when the matrix size of neural network ... See full document

... of using iris recognition ...iris recognition is performed by applying the Gabor wavelets to portion of the iris which gives 2048 bits iris code for comparison ...finds principal components ... See full document

... face recognition method using PCA and neural network back error propagation Algorithm ; In this features are extracted using PCA and classification using back error propagation Histogram ... See full document

... For the experiment we compiled a set of 60 training images which had face images having any one of the following five basic expressions – “neutral”, “happy”, “sad”, “disgust” and “anger” of the same individual with a ... See full document

... face recognition [3] is considered as a challenging pattern recognition problem due to its ...face recognition in images with non-homogeneous illumination, but worsen recognition rates in ... See full document

... Principal component analysis can be employed in a nonlinear way by means of the kernel ...resulting technique is capable of constructing nonlinear mappings that maximize the variance in the ... See full document

... In this section of our paper we combine our entire extracted feature and run PCA algorithm over it to get the desired output. As it is well known that PCA concentrated on statistical technique, we use this concept ... See full document

... pattern recognition using eigen ears is a biometric technique for human identification in which we use PCA(principal component analysis) image ... See full document

... this technique was discovered by Karl Pearson and other researchers are just improving the ...face recognition before the PCA technique such as Linear Discriminant Analysis (LDA), Gabor ... See full document

... The first stage of any vision system is the image acquisition stage. The face image is captured using the Digital cam. The image is of size 480 X 640. No Physical contact is required with the cam unlike in other ... See full document

... for facial expression recognition (FER) is to accurately extract emotional ...of facial expression recognition using ...face-recognition technique, the 2D face-image ... See full document

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

... face recognition, it is not at all obvious how faces are encoded or decoded by the human ...face recognition has been studied for more than twenty ...face recognition is quite [6] difficult, because ... See full document

... method Principal Component Analysis (PCA) that is used for image recognition with dimensional ...With Principal Component Analysis, all the training and test images are ... See full document

... paper recognition problem is solved through a matching process in which a test set hand image is compared with all the images in ...gesture recognition is proposed by using PCA for feature ...The ... See full document

... In PCA the probe and gallery image must be the same size. The image is treated as the 2-D matrix and as a single vector. The first step is to load the training images. The images must be grayscale image with a consistent ... See full document

... method using PCA which detects the head of an individual in a complex background and then recognizes the person by comparing the characteristics of the face to those of known ...Bayesian analysis of image ... See full document

... 3.2. Segmentation: We have used Active Contour based segmentation of face. Active contour model represents an object boundary or some other salient image feature as a parametric curve and energy functional E is ... See full document