Real-Time Face Recognition System Using KPCA, LBP and Support Vector Machine

With increasing security threats, Biometric systems have importance in different fields. This appears clearly exactly after the rapid development that happened in power of computing. In this paper, the Design and implementation of a real-time face recognition system are presented. In such a system, Kernel principal component analysis (KPCA) and Local binary pattern (LBP) are used as feature extraction methods with the aid of support vector machine (SVM) to work as a classifier. A comparison between traditional feature extraction methods as (PCA and LDA) and a proposal methods are performed as well as a comparison between support vector neural network and artificial neural network classifier are also implemented. Two types of experiments, On-line, and Off-line experiments are done. In the On-line experiment, a new database is created and used. While in the off-line experiment, two types of databases (ORL and YALE) are used to estimate the performance and efficiency of the system. The combinations of these methods together enhances the experimental results in compare with other methods

Breast Cancer Diagnostic System Based on MR images Using KPCA-Wavelet Transform and Support Vector Machine

Automated detection and accurate classification of breast tumors using magnetic resonance image (MRI) are very important for medical analysis and diagnostic fields. Over the last ten years, numbers of methods have been proposed, but only few methods succeed in this field. This paper presents the design and the implementation of CAD system that has the ability to detect and classify the tumor of the breast in the MR images. To achieve this, k-mean clustering methods and morphological operators are applied to segment the tumor. The gray scale, Texture and symmetrical features as well as discrete wavelet transform (DWT) are used in feature extracted stage to obtain the features from MR images. Kernel principle components analysis (K-PCA) are also applied as a feature reduction technique and support vectors machine (SVM) are used as a classifier. Finally, the experiments results have confirmed the robustness and accuracy of proposed syste

Motion artifacts reduction in cardiac pulse signal acquired from video imaging

This study examines the possibility of remotely measuring the cardiac pulse activity of a patient, which could be an alternative technique to the classical method. This type of measurement is non-invasive. However, several limitations may deteriorate the accuracy of the results, including changes in ambient illumination, motion artifacts (MA) and other interferences that may occur through video recording. The paper in hand presents a new approach as a remedy for the aforementioned problem in cardiac pulse signals extracted from facial video recordings. Partitioning provides the basis for the presented MA reduction method; the acquired signals are partitioned into two sets for each second and every partition is shifted to the mean level and then all the partitions are recombined again into one signal, which is followed by low-pass filtering for enhancement. The proposed compared with ordinary pulse oximetry Photoplethysmographic (PPG) method. The resulted correlation coefficient was found (0.957) when calculated between the results of the proposed method and the ordinary one. Experiments were implemented using a common camera by creating a dataset from 11 subjects. The ease of implementation of this method with a simple that can be used to monitor the cardiac pulse rates in both home and the clinical environments

A Numerical And Experimental Study of Louvered Fin Heat Exchanger Performance

The louvered fin heat exchanger is a very widely used method to increase thecompact heat transfer coefficient on the air-side of condensers by adding fins andinitiating new boundary layer growth and increasing surface area. The governingequations of such application are the Navier Steckes equation and energy equation. Atwo-dimensional, turbulent, compressible flow is simulated and solved. The solutiongives the distributions of velocity and temperature (which is represented by Nusseltnumber). Laminar and turbulent flow were studied experimentally and only turbulentflow was studied theoretically, for a range of ReLp 230 to 8100 with constant inlettemperature of 21C˚with two angles of louver fin 27˚ and 35 ˚. The ideal geometry forheat transfer performance was determined to be dependent on Reynolds number. Atlower Reynolds number the optimal geometry was found to be θ = 27º and at highReynolds number the ideal geometry was determined to beθ = 35º, Fp/Lp = 0.58

Study of some Mechanical Properties and Thermal Conductivity of Epoxy/TiO2-ZnO Hybrid Nano Composites

It had been studied the effect of reinforcement by Nano Titanium Dioxide (nano-TiO2) powder, Nano Zinc Oxide (nano-ZnO) powder [both of them with grain size of (10-30)nm], and the hybrid (TiO2+ZnO) from the powder above (with 2wt.% concentration), on the mechanical properties and thermal conductivity for polymeric composites that it basis by epoxy resin which prepared by Hand Lay-up molding method. For prepared samples, it had been made compression strength, surface hardness and thermal conductivity tests in natural conditions (without immersion), and after the immersion in solution of diluted hydrochloric acid (HCl) with two normality (0.5N and 1N). Tests results showed that previous addition ceramic powders improved the mechanical properties for composite materials. The hybrid composite had higher compression strength, higher Elasticity strength and higher hardness, followed by (Ep+ZnO) composite. Also, the hybrid composite had less thermal conductivity coefficient (K).On the other hand, the composites immersion in diluted HCl solution led to affect their previous mechanical properties by negativity manner. The hybrid composite was the least affecting, and the acid expansion in composites led to oscillate the values of thermal conductivity coefficient. At the end of immersion time, the coefficient (K) dropped for hybrid composite more than two composites (Ep+TiO2) and (Ep+ZnO)