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Face Recognition using Independent Component Analysis ...
Principal Component Analysis is used for the Face Recognition System [13]. This research used a version of PCA for facial images in FERET database where input picture is treated as random ...
Various Techniques used for Face Recognition
In this approach, complete face region is taken into account as input data into face catching system. One of the best example of holistic methods are Eigenfaces, PCA, Linear Discriminant Analysis and independent component analysis etc. Let's see the steps of Eigenfaces Method : This approach covers face recognition as a two-dimensional ......
 Enhancing Performance of Face Recognition System Using ...
facebook uses face recognition system to help automate user tagging in photographs. To design high performance algorithms for automatic face recognition systems is a challenging task in the field of computer vision and pattern recognition for real time applications. Independent Component Analysis (ICA) is a...
 Recognizing Facial Actions by Combining Geometric Features ...
Gabor wavelet representation and independent component analysis. All of these systems [1, 7, 11] used a manual step to align the input images with a standard face image using the center of the eyes and mouth. In our previous system [21], multi-state face and facial component models are proposed for tracking and...
 Facial Expressions Recognition Based On Dimensionality ...
face recognition system. The average recognition rate is known as the average percentage number of images belonging to the same face image as the query face image in the top ‘N’ matches. ‘N’ indicates the number of recognized images. A. Principal component analysis (P CA) Principal Components Analysis (PCA) is a statistical...
 ARM BASED SECURITY SYSTEM USING LINEAR DISCRIMINANT ANALYSIS
technology. Face recognition requires comparing an image with database of stored images. There are different types of face recognition algorithms. For face recognition and comparison in this paper three appearance-based methods namely Principal Component Analysis, Independent Component Analysis and...