IEEE 2015 Matlab Project

A Survey of Multicasting over Wireless Access Networks

In this paper a survey of the research effort invested in the analysis of multicasting over wireless access networks from the late nineties onwards is presented. The analysis is dedicated although not limited to video multicasting both of live events and pre-stored video streaming. This investigation was not limited to a particular access network but [...]

Alleviation of Electromagnetic Interference Noise Using a Resonant Shunt for Balanced Converters

  Balanced converter is an effective way to reduce the CM noise. However, the parasitic capacitance between the switch and heat sink leads to resonant problems, resulting in high noise in certain frequency range. This paper proposes a novel coupled inductor structure based on the balanced technique for the Boost converter to further reduce the [...]

A quality aware technique for biometric recognition

  Noise is a very common factor for degradation of images and for better performance of any image based biometric system, enhancement of poor quality images due to noise is necessary. In most of the previously proposed techniques in the literature, it is assumed that all the images participating in the recognition process are of [...]

Extracting subsurface fingerprints using Optical Coherence Tomography

Physiologists have found that fingerprint patterns exist in the inner layers (viz. papillary junction) of the skin of the fingertip. However, conventional acquisition systems do not have capabilities to extract fingerprints at subsurface layers of the finger for use in identity authentication. The subsurface fingerprint representation is of a higher quality than the surface representation [...]

Learning Fingerprint Reconstruction: From Minutiae to Image

The set of minutia points is considered to be the most distinctive feature for fingerprint representation and is widely used in fingerprint matching. It was believed that the minutiae set does not contain sufficient information to reconstruct the original fingerprint image from which minutiae were extracted. However, recent studies have shown that it is indeed [...]

Multi-Task Pose-Invariant Face Recognition

Face images captured in unconstrained environments usually contain significant pose variation, which dramatically degrades the performance of algorithms designed to recognize frontal faces. This paper proposes a novel face identification framework capable of handling the full range of pose variations within ±90° of yaw. The proposed framework first transforms the original pose-invariant face recognition problem [...]

Image Denoising by Exploring External and Internal Correlations

Single image denoising suffers from limited data collection within a noisy image. In this paper, we propose a novel image denoising scheme, which explores both internal and external correlations with the help of web images. For each noisy patch, we build internal and external data cubes by finding similar patches from the noisy and web [...]

High-resolution face verification using pore-scale facial features

Face recognition methods, which usually represent face images using holistic or local facial features, rely heavily on alignment. Their performances also suffer a severe degradation under variations in expressions or poses, especially when there is one gallery per subject only. With the easy access to high-resolution (HR) face images nowadays, some HR face databases have [...]

Vector Sparse Representation of Color Image Using Quaternion Matrix Analysis

Traditional sparse image models treat color image pixel as a scalar, which represents color channels separately or concatenate color channels as a monochrome image. In this paper, we propose a vector sparse representation model for color images using quaternion matrix analysis. As a new tool for color image representation, its potential applications in several image-processing [...]

Face Recognition Across Non-Uniform Motion Blur, Illumination, and Pose

Existing methods for performing face recognition in the presence of blur are based on the convolution model and cannot handle non-uniform blurring situations that frequently arise from tilts and rotations in hand-held cameras. In this paper, we propose a methodology for face recognition in the presence of space-varying motion blur comprising of arbitrarily-shaped kernels. We [...]