Said SAFI - Academia.edu (original) (raw)

Papers by Said SAFI

Research Anthology on Medical Informatics in Breast and Cervical Cancer

This chapter explores diagnosis of the breast tissues as normal, benign, or malignant in digital ... more This chapter explores diagnosis of the breast tissues as normal, benign, or malignant in digital mammography, using computer-aided diagnosis (CAD). System for the early diagnosis of breast cancer can be used to assist radiologists in mammographic mass detection and classification. This chapter presents an evaluation about performance of extracted features, using gray-level co-occurrence matrix applied to all detailed coefficients. The nonsubsampled contourlet transform (NSCT) of the region of interest (ROI) of a mammogram were used to be decomposed in several levels. Detecting masses is more difficult than detecting microcalcifications due to the similarity between masses and background tissue such as F) fatty, G) fatty-glandular, and D) dense-glandular. To evaluate the system of classification in which k-nearest neighbors (KNN) and support vector machine (SVM) used the accuracy for classifying the mammograms of MIAS database between normal and abnormal. The accuracy measures throug...

In this paper, we present an algorithm for reconstruction from incomplete 2D scans for tifinagh c... more In this paper, we present an algorithm for reconstruction from incomplete 2D scans for tifinagh characters. This algorithm is based on using correlation between the lost block and its neighbors. This system proposed contains three main parts: pre-processing, features extraction and recognition. In the first step, we construct a database of tifinagh characters. In the second step, we will apply "shape analysis algorithm". In classification part, we will use Neural Network. The simulation results demonstrate that the proposed method give good results.

In this paper, we describe an application for face recognition. Many studies have used local desc... more In this paper, we describe an application for face recognition. Many studies have used local descriptors to characterize a face, the performance of these local descriptors remain low by global descriptors (working on the entire image). The application of local descriptors (cutting image into blocks) must be able to store both the advantages of global and local methods in the Discrete Cosine Transform (DCT) domain. This system uses neural network techniques. The letter method provides a good compromise between the two approaches in terms of simplifying of calculation and classifying performance. Finally, we compare our results with those obtained from other local and global conventional approaches.

In this paper we describe the Levenvberg-Marquardt (LM) algorithm for identification an... more In this paper we describe the Levenvberg-Marquardt (LM) algorithm for identification and equalization of CDMA signals received by an antenna array in communication channels. The synthesis explains the digital separation and equalization of signals after propagation through multipath generating intersymbol interference (ISI). Exploiting discrete data transmitted and three diversities induced at the reception, the problem can be composed by the Block Component Decomposition (BCD) of a tensor of order 3 which is a new tensor decomposition generalizing the PARAFAC decomposition. We optimize the BCD decomposition by Levenvberg-Marquardt method gives encouraging results compared to classical alternating least squares algorithm (ALS). In the equalization part, we use the Minimum Mean Square Error (MMSE) to perform the presented method. The simulation results usi...

$Research paper thumbnail of Numerical Example Of Aperiodic Diffraction Grating$

Diffraction grating is periodic module used in many engineering fields, its geometrical... more Diffraction grating is periodic module used in many engineering fields, its geometrical conception gives interesting properties of diffraction and interferences, a uniform and periodic diffraction grating consists of a number of identical apertures that are equally spaced, in this case, the amplitude of intensity distribution in the far field region is generally modulated by diffraction pattern of single aperture. In this paper, we study the case of aperiodic diffraction grating with identical rectangular apertures where theirs coordinates are modeled by square root function, we elaborate a computer simulation comparatively to the periodic array with same length and we discuss the numerical results.

Mathematical Problems in Engineering, 2021

Automatic detection and monitoring of the condition of cracks in the road surface are essential e... more Automatic detection and monitoring of the condition of cracks in the road surface are essential elements to ensure road safety and quality of service. A crack detection method based on wavelet transforms (2D-DWT) and Jerman enhancement filter is used. This paper presents different contributions corresponding to the three phases of the proposed system. The first phase presents the contrast enhancement technique to improve the quality of roads surface image. The second phase proposes an effective detection algorithm using discrete wavelet (2D-DWT) with “db8” and two-level sub-band decomposition. Finally, in the third phase, the Jerman enhancement filter is usually used with different parameters of the control response uniformity “ τ ” to enhance for cracks detection. The experimental results in this article provide very powerful results and the comparisons with five existing methods show the effectiveness of the proposed technique to validate the recognition of surface cracks.

In this paper, we proposed the fusion of two methods to know principal component analysis (PCA) i... more In this paper, we proposed the fusion of two methods to know principal component analysis (PCA) in the domain DCT and singular value decomposition (SVD). Experimental results performed on the standard database ORL which prove that the proposed approach achieves more advantages in terms of identification and processing time.

International journal of innovation and scientific research, 2014

In this paper, we present a comparison between two methods of features extraction; the first one ... more In this paper, we present a comparison between two methods of features extraction; the first one is the Krawtchouk invariant moment (KIM). The second one is the Zernike invariant moment (ZIM). These moments are used for printed Arabic characters recognition in different situations: translated, rotated or resized and noisy. In the pre-processing phase we use the thresholding technique. In the learning-classification phase we use the multi-layer perceptron (MLP) that is considered as a neural network based on a supervised learning. The simulation result that we have obtained demonstrates that the KIM is more robust than ZIM in this recognition.

In this paper, we present two feature extraction methods for two-dimensional face recognition. Ou... more In this paper, we present two feature extraction methods for two-dimensional face recognition. Our approaches are based on facial feature points detection then compute the Euclidean Distance between all pairs of this points for a first method (ED-FFP) and Geodesic Distance in the second approach (GD-FFP). These measures are employed as inputs to a commonly used classification techniques such as Neural Networks (NN), kNearest Neighbor (KNN) and Support Vector Machines (SVM). To test the present methods and evaluate its performance, a series of experiments were performed on two-dimensional face image databases (ORL and Yale). The recognition rate across all trials was higher using Geodesic Distance (GD-FFP) than Euclidean Distance (ED-FFP). The experimental results also indicated that the extraction of image features is computationally more efficient using Geodesic Distance than Euclidean Distance. Keywords—face recognition, Euclidean Distance, Geodesic Distance, Neural Networks, k-Ne...

Journal of Electronic Commerce in Organizations, 2018

Geometrical features are widely used to descript human faces. Generally, they are extracted punct... more Geometrical features are widely used to descript human faces. Generally, they are extracted punctually from landmarks, namely facial feature points. The aims are various, such as face recognition, facial expression recognition, face detection. In this article, the authors present two feature extraction methods for two-dimensional face recognition. Their approaches are based on facial feature points detection by compute the Euclidean Distance between all pairs of this points for a first method (ED-FFP) and Geodesic Distance in the second approach (GD-FFP). These measures are employed as inputs to commonly used classification techniques such as Neural Networks (NN), k-Nearest Neighbor (KNN) and Support Vector Machines (SVM). To test the methods and evaluate its performance, a series of experiments were performed on two-dimensional face image databases (ORL and Yale). The experimental results also indicated that the extraction of image features is computationally more efficient using G...

Chaos, Solitons & Fractals, 2020

Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on ... more Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre-including this research content-immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

TELKOMNIKA (Telecommunication Computing Electronics and Control), 2020

This paper presents an automatic speaker identification and speech recognition for Arabic digits ... more This paper presents an automatic speaker identification and speech recognition for Arabic digits in noisy environment. In this work, the proposed system is able to identify the speaker after saving his voice in the database and adding noise. The mel frequency cepstral coefficients (MFCC) is the best approach used in building a program in the Matlab platform; also, the quantization is used for generating the codebooks. The Gaussian mixture modelling (GMM) algorithms are used to generate template, feature-matching purpose. In this paper, we have proposed a system based on MFCC-GMM and MFCC-VQ approaches on the one hand and by using the hybrid approach MFCC-VQ-GMM on the other hand for speaker modeling. The white Gaussian noise is added to the clean speech at several signal-to-noise ratio (SNR) levels to test the system in a noisy environment. The proposed system gives good results in recognition rate.

Indonesian Journal of Electrical Engineering and Computer Science, 2019

Scientific research is a major issue for universities because it ensures its innovation and produ... more Scientific research is a major issue for universities because it ensures its innovation and productivity, but to ensure the proper functioning of universities, the decisions-makers need powerful tools to assist them in this process. Multi criteria decision making (MCDM) may present an appropriate asset for this area especially with the analytical hierarchy process (AHP) which presents a theory of measurement through pairwise comparisons and relies on the judgments of experts to derive priority scales.

International Journal of Informatics and Communication Technology (IJ-ICT), 2017

In this paper, we present an automatic application of 3D face recognition system using geodesic d... more In this paper, we present an automatic application of 3D face recognition system using geodesic distance in Riemannian geometry. We consider, in this approach, the three dimensional face images as residing in Riemannian manifold and we compute the geodesic distance using the Jacobi iterations as a solution of the Eikonal equation. The problem of solving the Eikonal equation, unstructured simplified meshes of 3D face surface, such as tetrahedral and triangles are important for accurately modeling material interfaces and curved domains, which are approximations to curved surfaces in R3. In the classifying steps, we use: Neural Networks (NN), K-Nearest Neighbor (KNN) and Support Vector Machines (SVM). To test this method and evaluate its performance, a simulation series of experiments were performed on 3D Shape REtrieval Contest 2008 database (SHREC2008).

International Journal of Control and Automation, 2017

Part of array signal processing is focused on engineering of angular interferometry to study and ... more Part of array signal processing is focused on engineering of angular interferometry to study and characterize the properties of radiating sources and media of propagation, among the applications of array processing we find telecommunications for radio signals, geophysics for seismic waves and maritime communications for underwater acoustical sources. In this paper, we discuss the possibility of applying array processing techniques to partially characterize one dimensional surface roughness of rectangular plate, we propose a system composed of three identical arrays of sensors in far field region relatively to the rectangular plate. The principle of one dimensional roughness description is based on azimuth angle and Fraunhofer criterion. The system consists of one transmitted plane wave and three arrays that intercept the backscattered specular component and diffuse field in several directions, using a combination of multidimensional received signals that are linearly polarized, we construct one characteristic function resulting from angular scan in visible domain of uniform linear array of sensors. The proposed system is supported by numerical simulation.

Sciprints, 2016

In this paper, we proposed the fusion of two projection based face recognition algorithms: local ... more In this paper, we proposed the fusion of two projection based face recognition algorithms: local binary Patterns in DCT domain and singular value decomposition (SVD) characterized by its simplicity and efficiently. Standard databases ORL are used to test the experimental results which prove that proposed system achieves more accurate face recognition as compared to individual method.

Journal of Electronic Commerce in Organizations, 2015

In this paper the authors are focused on channel identification and equalization for Multi-Carrie... more In this paper the authors are focused on channel identification and equalization for Multi-Carrier Code Division Multiple Access (MC-CDMA) system. For this, they identify the impulse response of two practical selective frequency fading channels called Broadband Radio Access Network (BRAN A and BRAN B) normalized by the European Telecommunications Standards Institute (ETSI). To identify the channel parameters, they have the positive definite kernels to build on algorithm. The simulations show that the presented method confirms the good performance for different SNR values. In part of equalization, the authors use the Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) equalizers.

Journal of Electronic Commerce in Organizations, 2015

In this paper, the authors performed a comparative study of two-dimensional face recognition meth... more In this paper, the authors performed a comparative study of two-dimensional face recognition methods. This study was based on existing methods (PCA, LDA, 2DPCA, 2DLDA, SVM...) and 2D face surface analysis using a Riemannian geometry. The last system uses the representation of the image at gray level as a 2D surface in a 3D space where the third coordinate represent the intensity values of the pixels. The authors' approach is to represent the human face as a collection of closed curves, called facial curves, and apply tools from the analysis of the shape of curves using the Riemannian geometry. Their application has been tested on two well-known databases of face images ORL and YaleB. ORL data base was used to evaluate the performance of their method when the pose and sample size are varied, and the database YaleB was used to examine the performance of the system when the facial expressions and lighting are varied.

In this paper, we present an automatic 3D face recognition system based on the computation of the... more In this paper, we present an automatic 3D face recognition system based on the computation of the geodesic distance between the reference point and the other points in the 3D face surface. To compute a geodesic distance, we use the Fast Marching algorithm for solving the Eikonal equation. For space reduction, we apply Principal Component Analysis (PCA) and Fisher Linear Discriminant Analysis (LDA). Quantitative measures of similarity are obtained and then used as inputs to several classification methods. In the classifying step, we use: Neural Networks (NN), k-Nearest Neighbor (KNN) and Support Vector Machines (SVM). To test this method and evaluate its performance, a simulation series of experiments were performed on 3D Shape REtrieval Contest 2008 database (SHREC2008).

Journal of Emerging Technologies in Web Intelligence, 2014

In this paper, we are focused on characters recognition, for this we present a comparison between... more In this paper, we are focused on characters recognition, for this we present a comparison between the Krawtchouk Invariant Moment (KIM) and the Pseudo Zernike Invariant Moment (PZIM) for the recognition of printed Arabic characters (translated, rotated and contaminated by noise). In the preprocessing phase, we use the thresholding technique, and in the learning-classification phases, we use the supports vectors machines (SVM).The simulation results demonstrates that the KIM method gives more significant results that the PZIM for each Arabic character.

Research Anthology on Medical Informatics in Breast and Cervical Cancer

$Research paper thumbnail of Numerical Example Of Aperiodic Diffraction Grating$

Mathematical Problems in Engineering, 2021

International journal of innovation and scientific research, 2014

Journal of Electronic Commerce in Organizations, 2018

Chaos, Solitons & Fractals, 2020

TELKOMNIKA (Telecommunication Computing Electronics and Control), 2020

Indonesian Journal of Electrical Engineering and Computer Science, 2019

International Journal of Informatics and Communication Technology (IJ-ICT), 2017

International Journal of Control and Automation, 2017

Sciprints, 2016

Journal of Electronic Commerce in Organizations, 2015

Journal of Emerging Technologies in Web Intelligence, 2014