Image Processing for Face Recognition Rate Enhancement

Improve Face Recognition Rate Using Different Image Pre-Processing Techniques

Face recognition become one of the most important and fastest growing area during the last several years and become the most successful application of image analysis and broadly used in security system. It has been a challenging, interesting, and fast growing area in real time applications. The propose method is tested using a benchmark ORL database that contains 400 images of 40 persons. Pre-P...

Image Processing and Image Representations for Face Recognition

A New Approach for Face Image Enhancement and Recognition

A new approach is presented to improve the face recognition accuracy. This approach is based on the contrast enhancement using high-frequency emphasize filtering and histogram equalization. In the presented method, image contrast and the global (or local) visualization are enhanced using digital filtering and equalizing the histogram of the pixel values over entire image. For this, first the fa...

ASIE: Application Specific Image Enhancement for Face Recognition

In this paper, we propose a novel method to enhance low quality images. Specifically, we focus on facial images. Low quality images are often degraded by motion artifacts, sensor limitations, and noise contamination leading to loss of higher order information that is essential for face recognition. First, we demonstrate that conventional denoising and deblurring methods are not able to fully re...

Face Recognition Using Gabor Wavelet for Image Processing Applications

The selection of appropriate wavelets is an important target for any application. In this paper Face recognition has been performed using Principal component analysis (PCA), Gaussian based PCA and Gabor based PCA. PCA extracts the relevant information from complex data sets and provides a solution to reduce dimensionality. PCA is based on Euclidean distance calculation which is minimized by app...