Pub Date : 2019-11-01DOI: 10.1109/ICAEE47123.2019.9014747
M. L. Zeggar, Nour El Houda Toudjien, F. Mansour, N. Attaf, M. S. Aida
ZnO/Si heterojunction as being elaborated as candidate for solar cell with low cost. ZnO thin films were deposited on a p-Si semiconductor and a glass by chemical spray pyrolysis. ZnO thin film were analyzed using Uv–Vis spectroscopy to study the optical properties. The microstructure were investigated by X-ray diffraction (XRD), Raman scattering and SEM microscope. Electrical and photovoltaic parameters of ZnO/p-Si structure were determined by current–voltage (I–V) in dark and under the light. The results showed that the ZnO film has a strong c-axe orientation with good crystal quality with high transmittance (90 %) and large band gap about 3,4 eV. The device has a large rectifying property about 6.51 ideality factor and 103 $Omega$ series resistance values. The maximum efficiency of ZnO/Si solar cell is 0.36 %. This low cost solar cell heterostructure fabricated by spray pyrolysis with its relative efficiency makes it an attractive alternative to the present procedure.
{"title":"ZnO/Si heterojunction for low cost solar cell fabricated by chemical spray pyrolysis method","authors":"M. L. Zeggar, Nour El Houda Toudjien, F. Mansour, N. Attaf, M. S. Aida","doi":"10.1109/ICAEE47123.2019.9014747","DOIUrl":"https://doi.org/10.1109/ICAEE47123.2019.9014747","url":null,"abstract":"ZnO/Si heterojunction as being elaborated as candidate for solar cell with low cost. ZnO thin films were deposited on a p-Si semiconductor and a glass by chemical spray pyrolysis. ZnO thin film were analyzed using Uv–Vis spectroscopy to study the optical properties. The microstructure were investigated by X-ray diffraction (XRD), Raman scattering and SEM microscope. Electrical and photovoltaic parameters of ZnO/p-Si structure were determined by current–voltage (I–V) in dark and under the light. The results showed that the ZnO film has a strong c-axe orientation with good crystal quality with high transmittance (90 %) and large band gap about 3,4 eV. The device has a large rectifying property about 6.51 ideality factor and 103 $Omega$ series resistance values. The maximum efficiency of ZnO/Si solar cell is 0.36 %. This low cost solar cell heterostructure fabricated by spray pyrolysis with its relative efficiency makes it an attractive alternative to the present procedure.","PeriodicalId":197612,"journal":{"name":"2019 International Conference on Advanced Electrical Engineering (ICAEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125833512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICAEE47123.2019.9014777
Soraya Berbache, M. Harkat, F. Kratz
Due to its effectiveness and simplicity, principal components analysis (PCA) has been considered as a basic technique of multivariate statistical process control (MSPC) and it has been applied with a great success in the FDI domain. A set of independent latent variables named principal components (PCs) are created by a linear combination of the original system variables. In the field of sensor fault detection and diagnosis based on PCA, several types of monitoring statistics are well established for enhancing fault detection, where the filtered SPE and SWE statistics are used in this work. After detection, process malfunctions are identified by applying an adequate fault isolation technique. However, various approaches of fault isolation have been suggested in the research literature. The aim of this work is to provide a succinct study exhibiting the ability of three fault isolation methods such as backward elimination sensor identification, contributions charts and fault reconstruction approach to give the correct isolation results via a simulation example.
{"title":"Sensor fault detection and isolation techniques based on PCA","authors":"Soraya Berbache, M. Harkat, F. Kratz","doi":"10.1109/ICAEE47123.2019.9014777","DOIUrl":"https://doi.org/10.1109/ICAEE47123.2019.9014777","url":null,"abstract":"Due to its effectiveness and simplicity, principal components analysis (PCA) has been considered as a basic technique of multivariate statistical process control (MSPC) and it has been applied with a great success in the FDI domain. A set of independent latent variables named principal components (PCs) are created by a linear combination of the original system variables. In the field of sensor fault detection and diagnosis based on PCA, several types of monitoring statistics are well established for enhancing fault detection, where the filtered SPE and SWE statistics are used in this work. After detection, process malfunctions are identified by applying an adequate fault isolation technique. However, various approaches of fault isolation have been suggested in the research literature. The aim of this work is to provide a succinct study exhibiting the ability of three fault isolation methods such as backward elimination sensor identification, contributions charts and fault reconstruction approach to give the correct isolation results via a simulation example.","PeriodicalId":197612,"journal":{"name":"2019 International Conference on Advanced Electrical Engineering (ICAEE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123708938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICAEE47123.2019.9014667
H. Mohamed, Boumédiène Abdelmadjid, Baghli Lotfi
The direct torque control (DTC) of the induction machine (IM) has a very fast dynamic response but it has the disadvantage of large oscillations of torque and flux with an inconstant switching frequency. In particular, this article presents an improved DTC method based on the backstepping technique of an induction machine supplied with voltage by an inverter controlled by a Space Vector Modulation (SVM). For this strategy, the rotor speed, the electromagnetic torque and stator flux are selected as virtual state variables, and then a beckstepping controller are designed to produce the components of the stator reference voltage. Then, depending on its voltage components, the pulse width modulation is used to produce switching states of the inverter. On the other hand over a wide operating range of the machine the variation of the stator resistance due to heating degrades the performance of the DTC. To solve this problem an estimator has been developed to compensate for each variation in the stator resistance of the machine during operation. The results obtained by numerical simulation show the effectiveness of the proposed control method. This combination could effectively reduce flux and torque ripples with good dynamic performance and robustness.
{"title":"Performance improvement of SVM-DTC of Induction Machine Drive via Backstepping Controller and Stator Resistance Compensator","authors":"H. Mohamed, Boumédiène Abdelmadjid, Baghli Lotfi","doi":"10.1109/ICAEE47123.2019.9014667","DOIUrl":"https://doi.org/10.1109/ICAEE47123.2019.9014667","url":null,"abstract":"The direct torque control (DTC) of the induction machine (IM) has a very fast dynamic response but it has the disadvantage of large oscillations of torque and flux with an inconstant switching frequency. In particular, this article presents an improved DTC method based on the backstepping technique of an induction machine supplied with voltage by an inverter controlled by a Space Vector Modulation (SVM). For this strategy, the rotor speed, the electromagnetic torque and stator flux are selected as virtual state variables, and then a beckstepping controller are designed to produce the components of the stator reference voltage. Then, depending on its voltage components, the pulse width modulation is used to produce switching states of the inverter. On the other hand over a wide operating range of the machine the variation of the stator resistance due to heating degrades the performance of the DTC. To solve this problem an estimator has been developed to compensate for each variation in the stator resistance of the machine during operation. The results obtained by numerical simulation show the effectiveness of the proposed control method. This combination could effectively reduce flux and torque ripples with good dynamic performance and robustness.","PeriodicalId":197612,"journal":{"name":"2019 International Conference on Advanced Electrical Engineering (ICAEE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114958043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICAEE47123.2019.9015131
Senoussaoui Abderrahmene, C. Mohammed, Kacimi Abderrahmane, Hocine Rachida
This work presents the design of a nonlinear autoregressive-moving average controller (NARLA-L2) applied to a TWIN ROTOR MIMO SYSTEM (TRMS). This system simulates the dynamic of a helicopter, which is a kind of UAVs; they are the interest of nowadays researches, in particular the control of this system. Because of the difficulty presented in modeling of such non linear systems, a non model control technique is used -to avoid this hard and not exact task-based on neural network structure.So this method is applicable for the control of this type of complex nonlinear system, and its strength is that it is not based on physical modeling that is often far from the real system, thus the ease of synthesizing the corrector with good performances in trajectory tracking and disturbances rejection.
{"title":"Neural network NARMA-L2 control of a Twin Rotor MIMO System","authors":"Senoussaoui Abderrahmene, C. Mohammed, Kacimi Abderrahmane, Hocine Rachida","doi":"10.1109/ICAEE47123.2019.9015131","DOIUrl":"https://doi.org/10.1109/ICAEE47123.2019.9015131","url":null,"abstract":"This work presents the design of a nonlinear autoregressive-moving average controller (NARLA-L2) applied to a TWIN ROTOR MIMO SYSTEM (TRMS). This system simulates the dynamic of a helicopter, which is a kind of UAVs; they are the interest of nowadays researches, in particular the control of this system. Because of the difficulty presented in modeling of such non linear systems, a non model control technique is used -to avoid this hard and not exact task-based on neural network structure.So this method is applicable for the control of this type of complex nonlinear system, and its strength is that it is not based on physical modeling that is often far from the real system, thus the ease of synthesizing the corrector with good performances in trajectory tracking and disturbances rejection.","PeriodicalId":197612,"journal":{"name":"2019 International Conference on Advanced Electrical Engineering (ICAEE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122957400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICAEE47123.2019.9015153
E. Zaidi, K. Marouani, H. Bouadi
The main objective of this paper is the simulation and analysis of a dual star induction machine (DSIM) with speed regulation using fuzzy logic controller (FLC). This drive system supplied by two voltage source multi-level converters (MLC) and controlled under indirect field oriented control (IFOC) technique. Furthermore, the multi-level converter is used to reduce the harmonic currents and torque pulsations. The FFT spectrum of the currents and output voltages is presented and analyzed to show the reduction of harmonics. So, they showed that the total harmonic distortion (THD) decreases as the number of levels increases. Moreover, a substantial reduction of the magnitude of the electromagnetic torque pulsations and stator currents rating is observed with the multi-level converter compared to the conventional converter.
{"title":"Simulation and Analysis of DSIM Speed Control System Supplied by Multi-Level Converter Using Fuzzy Logic Controller","authors":"E. Zaidi, K. Marouani, H. Bouadi","doi":"10.1109/ICAEE47123.2019.9015153","DOIUrl":"https://doi.org/10.1109/ICAEE47123.2019.9015153","url":null,"abstract":"The main objective of this paper is the simulation and analysis of a dual star induction machine (DSIM) with speed regulation using fuzzy logic controller (FLC). This drive system supplied by two voltage source multi-level converters (MLC) and controlled under indirect field oriented control (IFOC) technique. Furthermore, the multi-level converter is used to reduce the harmonic currents and torque pulsations. The FFT spectrum of the currents and output voltages is presented and analyzed to show the reduction of harmonics. So, they showed that the total harmonic distortion (THD) decreases as the number of levels increases. Moreover, a substantial reduction of the magnitude of the electromagnetic torque pulsations and stator currents rating is observed with the multi-level converter compared to the conventional converter.","PeriodicalId":197612,"journal":{"name":"2019 International Conference on Advanced Electrical Engineering (ICAEE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129497444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICAEE47123.2019.9014775
H. Reriballah, W. Aksa, M. Boukhoulda, S. Touhami, K. Medles, A. Tilmatine
Electrostatic separation of granular materials is a good and innovative solution for the recycling of plastic materials from waste of electrical and electronic equipment (WEEE). These WEEEs, which contain a wide variety of materials whose treatment and recycling require the development of new electrostatic separation technologies. This installation has allowed the separation of several plastic granular mixtures. The preliminary experiments were carried out to determine the influence of some parameters on the installation. With the help of these results, it was possible to model the separator produced by the design of experiments methodology, using MODDE 5.0 software, which allowed us to separate granular mixtures with maximum recoveries and high purity greater than 90%.
{"title":"Realization and Optimization of a New Inclined Plane Electro-Separator","authors":"H. Reriballah, W. Aksa, M. Boukhoulda, S. Touhami, K. Medles, A. Tilmatine","doi":"10.1109/ICAEE47123.2019.9014775","DOIUrl":"https://doi.org/10.1109/ICAEE47123.2019.9014775","url":null,"abstract":"Electrostatic separation of granular materials is a good and innovative solution for the recycling of plastic materials from waste of electrical and electronic equipment (WEEE). These WEEEs, which contain a wide variety of materials whose treatment and recycling require the development of new electrostatic separation technologies. This installation has allowed the separation of several plastic granular mixtures. The preliminary experiments were carried out to determine the influence of some parameters on the installation. With the help of these results, it was possible to model the separator produced by the design of experiments methodology, using MODDE 5.0 software, which allowed us to separate granular mixtures with maximum recoveries and high purity greater than 90%.","PeriodicalId":197612,"journal":{"name":"2019 International Conference on Advanced Electrical Engineering (ICAEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129758214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICAEE47123.2019.9014825
Okba Boutebba, S. Semcheddine, F. Krim, B. Talbi
This paper focuses on the analysis of the control problems in DC-DC buck switched mode power converter, and the study of an adaptive backstepping controller (ABSC), highlighting the properties and advantages of backstepping control and considering their exploitation in the stability analysis of such converter. The design of the proposed controller overcomes backstepping control problems by using an explicit dynamic model of the converter suitable for implementation. The effectiveness of the studied ABSC approach is tested when the converter is affected by various perturbations and the results are compared to those obtained by a backstepping controller (BSC), and a conventional PI controller (proportional-integral).
{"title":"Adaptive Nonlinear Controller Design for DC-DC Buck Converter via Backstepping Methodology","authors":"Okba Boutebba, S. Semcheddine, F. Krim, B. Talbi","doi":"10.1109/ICAEE47123.2019.9014825","DOIUrl":"https://doi.org/10.1109/ICAEE47123.2019.9014825","url":null,"abstract":"This paper focuses on the analysis of the control problems in DC-DC buck switched mode power converter, and the study of an adaptive backstepping controller (ABSC), highlighting the properties and advantages of backstepping control and considering their exploitation in the stability analysis of such converter. The design of the proposed controller overcomes backstepping control problems by using an explicit dynamic model of the converter suitable for implementation. The effectiveness of the studied ABSC approach is tested when the converter is affected by various perturbations and the results are compared to those obtained by a backstepping controller (BSC), and a conventional PI controller (proportional-integral).","PeriodicalId":197612,"journal":{"name":"2019 International Conference on Advanced Electrical Engineering (ICAEE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128957954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICAEE47123.2019.9015162
Imane Ghlib, Youcef Messlem, Zakaria Chedjara
This paper presents a new neuro-control of induction motor (IM) drive. It has three key aims. Firstly, the performance of the controller is enhanced using the artificial neural network. Secondly, it objects to diminish the step of calculations and this finally aims to reduce the time needed for realization. The proposed method is based on the replace the classical speed controller with ADAptive LInear NEuron (ADALINE) The parameters of speed neuro-controller are tuned and optimized during the online process to obtain the high possible drive dynamics. The comparison with the conventional vector control under identical conditions shows that is the proposed controller represents a good comprise between Superior performance and reduced calculation.. The simulation results presented the strength, and superiority of the proposed structure compared to the standard method in transient response and even in parameter uncertainties. Furthermore, to make this technique able to involve in real time
{"title":"ADALINE-Based Speed Control For Induction Motor Drive","authors":"Imane Ghlib, Youcef Messlem, Zakaria Chedjara","doi":"10.1109/ICAEE47123.2019.9015162","DOIUrl":"https://doi.org/10.1109/ICAEE47123.2019.9015162","url":null,"abstract":"This paper presents a new neuro-control of induction motor (IM) drive. It has three key aims. Firstly, the performance of the controller is enhanced using the artificial neural network. Secondly, it objects to diminish the step of calculations and this finally aims to reduce the time needed for realization. The proposed method is based on the replace the classical speed controller with ADAptive LInear NEuron (ADALINE) The parameters of speed neuro-controller are tuned and optimized during the online process to obtain the high possible drive dynamics. The comparison with the conventional vector control under identical conditions shows that is the proposed controller represents a good comprise between Superior performance and reduced calculation.. The simulation results presented the strength, and superiority of the proposed structure compared to the standard method in transient response and even in parameter uncertainties. Furthermore, to make this technique able to involve in real time","PeriodicalId":197612,"journal":{"name":"2019 International Conference on Advanced Electrical Engineering (ICAEE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127045187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICAEE47123.2019.9014809
Imene Hadjadji, L. Falek, Lyes Demri, H. Teffahi
The general objective of this paper is to build a system in order to automatically recognize emotion in speech. The linguistic material used is a corpus of Arabic expressive sentences phonetically balanced. The dependence of the system on speaker is an encountered problem in this field; in this work we will study the influence of this phenomenon on our result. The targeted emotions are joy, sadness, anger and neutral. After an analytical study of a large number of speech acoustic parameters, we chose the cepstral parameters, their first and second derivatives, the Shimmer, the Jitter and the duration of the sentence. A classifier based on a multilayer perceptron neural network to recognize emotion on the basis of the chosen feature vector that has been developed. The recognition rate could reach more than 98% in the case of an intra-speaker classification and 54.75% in inter-speaker classification. We can see the system’s dependence on speaker clearly.
{"title":"Emotion recognition in Arabic speech","authors":"Imene Hadjadji, L. Falek, Lyes Demri, H. Teffahi","doi":"10.1109/ICAEE47123.2019.9014809","DOIUrl":"https://doi.org/10.1109/ICAEE47123.2019.9014809","url":null,"abstract":"The general objective of this paper is to build a system in order to automatically recognize emotion in speech. The linguistic material used is a corpus of Arabic expressive sentences phonetically balanced. The dependence of the system on speaker is an encountered problem in this field; in this work we will study the influence of this phenomenon on our result. The targeted emotions are joy, sadness, anger and neutral. After an analytical study of a large number of speech acoustic parameters, we chose the cepstral parameters, their first and second derivatives, the Shimmer, the Jitter and the duration of the sentence. A classifier based on a multilayer perceptron neural network to recognize emotion on the basis of the chosen feature vector that has been developed. The recognition rate could reach more than 98% in the case of an intra-speaker classification and 54.75% in inter-speaker classification. We can see the system’s dependence on speaker clearly.","PeriodicalId":197612,"journal":{"name":"2019 International Conference on Advanced Electrical Engineering (ICAEE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123615073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICAEE47123.2019.9014745
Fatima Zouaoui, Y. Chibani
Nowdays, recognizing characters from natural scene image is an important task in various applications of pattern recognition. In fact, the automatic recognition of characters from natural scenes allows providing many information for peoples such as the language translation from smartphone or the address identification from a camera transported in a vehicle. Hence, most of the systems are implemented for recognizing the English language by employing different robust descriptors and classifiers. However, few works are dedicated for the Arabic characters. Also, this paper aims to focus on the use of a recent descriptor namely the Histogram of Principal Oriented Gradients (HPOG) that is used in our best knowledge for the first time in character recognition. For classification, the One Class-Principal Component Analysis (OC-PCA) Classifier is used for recognizing Arabic characters in natural scene. For evaluating the performance of the HPOG associated to the OC-PCA, experimental results conducted on a standard Arabic dataset show the effectiveness of the proposed system against the state-of-art.
{"title":"The Effective Use of the Histogram of Principal Oriented Gradients for Natural Arabic Image Character Recognition","authors":"Fatima Zouaoui, Y. Chibani","doi":"10.1109/ICAEE47123.2019.9014745","DOIUrl":"https://doi.org/10.1109/ICAEE47123.2019.9014745","url":null,"abstract":"Nowdays, recognizing characters from natural scene image is an important task in various applications of pattern recognition. In fact, the automatic recognition of characters from natural scenes allows providing many information for peoples such as the language translation from smartphone or the address identification from a camera transported in a vehicle. Hence, most of the systems are implemented for recognizing the English language by employing different robust descriptors and classifiers. However, few works are dedicated for the Arabic characters. Also, this paper aims to focus on the use of a recent descriptor namely the Histogram of Principal Oriented Gradients (HPOG) that is used in our best knowledge for the first time in character recognition. For classification, the One Class-Principal Component Analysis (OC-PCA) Classifier is used for recognizing Arabic characters in natural scene. For evaluating the performance of the HPOG associated to the OC-PCA, experimental results conducted on a standard Arabic dataset show the effectiveness of the proposed system against the state-of-art.","PeriodicalId":197612,"journal":{"name":"2019 International Conference on Advanced Electrical Engineering (ICAEE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114630085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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