This paper proposes an intensity and size invariant real time computer vision-based face recognition approach. With this method, human facial area(s) are first detected automatically from real-time captured images. The images are then normalized using histogram equalization and contrast stretching. Finally face is recognized using eigenfaces method. This proposed method is camera to face distan...

The Xe 5s photoelectron spectrum and 5p(4)nl correlation satellites have been studied in small Xe clusters of an average size of about 15 atoms. The satellite structures are interpreted with the help of the atomic Xe lines. Transition energy shifts between the atomic and the corner/edge/face/bulk components in clusters are divided into polarization screening and exchange interaction energy. Int...

The biometrics are used to identify a person effectively. In this paper, we propose optimised Face recognition system based on log transformation and combination of face image features vectors. The face images are preprocessed using Gaussian filter to enhance the quality of an image. The log transformation is applied on enhanced image to generate features. The feature vectors of many images of ...

A face recognition system using different local features with different distance measures is proposed in this paper. Proposed method is fast and gives accurate detection. Feature vector is based on Eigen values, Eigen vectors, and diagonal vectors of sub images. Images are partitioned into sub images to detect local features. Sub partitions are rearranged into vertically and horizontally matric...

We investigated the processes underlying the discrimination and recognition of human faces as a function of spatial phase alignment to assess whether face processing can be understood in terms of the amplitude spectrum alone. Specifically, we varied the amount of aligned Fourier phase in different regions of the face frequency spectrum and argue that the properties of the underlying neural proc...

Face verification is an important tool for authentication of an individual and it can be of significant value in security and e-commerce applications. This paper deals with the application of correlation filters [1] for face verification. The performance of a specific type of correlation filter called the minimum average correlation energy (MACE) filter [2] is evaluated using a facial expressio...

We make moving caricatures from videos on human faces. Using training images, we created a 3D model of an average face. This allows us to transform the image in each frame of an input video, so that it is seen from the front. Then we apply 2D exaggeration rules to caricature each face. Finally, we rotate the face in each frame back to its original position. A panel of viewers gave positive scor...

In this paper a new algorithm has been proposed for face recognition which is an important area of object recognition and has received substantial attention in recent years from researchers in biometrics, pattern recognition, computer vision and image processing communities. This new algorithm is a hybrid approach for recognizing a person based on Feature based, Eigen based and Unified Bayesian...

In this paper, a novel face recognition method based on Real AdaBoost algorithm and Kalman Forecast is implemented. Real AdaBoost algorithm can obtain great accuracy with machine learning. Meanwhile, Kalman Forecast is introduced to track human faces detected, making face detection more efficient. We tested our new method with many video sequences. The detection accuracy is 98. 57%, and the ave...

In this paper, we propose a new method for computerized human face recognition using fractal transformations. The popular use of fractal image coding has been for image compression. It is only recently that their uses for object recognition are being explored. We will show that by utilizing the intrinsic properties of block-wise self-similar transformations in fractal image coding we can use it...