November 2016, No 6
A New Method for Curvilinear Text line Extraction and Straightening of Arabic Handwritten Text Print E-mail

A New Method for Curvilinear Text line Extraction and Straightening of Arabic Handwritten Text

1Ayman Al Dmour, 2Ibrahim El rube', and 3Laiali Almazaydeh

1,3Faculty of Information Technology, Al-Hussein Bin Talal University, Jordan

2Department of Computer Engineering, Taif University, KSA

Abstract: Line extraction is a critical step from one of the main subtasks of Document Image Analysis, which is layout analysis. This paper presents a new method for curvilinear text line extraction and straightening in Arabic handwritten documents. The proposed method is based on a strategy that consists of two distinct steps. First, text line is extracted based on morphological dilation operation. Secondly, the extracted text line is straighten in two sub-steps: Course tuning of text line orientation based on Hough transform, then fine tuning based on centroid alignment of the connected component that forms the text line. The proposed approach has been extensively experimented on samples from the benchmark datasets of KHATT and AHDB. Experimental results show that, the proposed method is capable of detecting and straightening curvilinear text lines even on challenging Arabic handwritten documents.

Keywords: Document image analysis, Arabic handwriting, Text line extraction, Hough transform

 

Received January 14, 2016; accepted May 11, 2016

 

 
Empirical Study of Analystsí Practices in Packaged Software Implementation at Small Software Enterpr Print E-mail

Empirical Study of Analysts’ Practices in Packaged Software Implementation at Small Software Enterprises

Issam Jebreen and Ahmad Al-Qerem

Faculty of Information Technology, Zarqa University, Jordan

Abstract: This study investigates the practices of Requirements Engineering (RE) for packaged software implementation, as enacted by Small Packaged Software Vendors (SPSVs). Throughout the study, a focus on the actions carried out by SPSV analysts during RE is maintained, rather than a focus on the actions of client companies. The study confirms assertions in the literature, finding that most contemporary RE practices are unsuitable for SPSVs. The research investigated the means by which SPSVs can adopt, follow and adapt the best possible RE practices for Packaged Software Implementation (PSI), an explanation of the collection of qualitative and quantitative data during an case study in packaged software vendors. The research findings lead to introduced new methods of documentation, was not as concerned as general RE practice with looking for domain constraints or with collecting requirements and viewpoints from multiple sources, was more likely to involve live software demonstrations and screenshots to validate user needs, and was more likely to involve the compilation of a user manual. In PSI, prioritising requirements is not a basic practice; instead, analysts collect requirements in a circular process, with managers then directing analysts regarding which requirements to direct most attention toward. PSI was also found to place emphasis on assessing requirements risks and on considering the relationship between users’ needs and the inter-relationships between software functions, as analysts engaging in PSI do not wish to disrupt functions of their software when making modifications in response to client requests.

Keywords: Requirement engineering; packaged software implementation; ERP; analysts’ practices SMEs.

Revived *** *, 2017; accepted *** *, 2017

 

Full text 


 

 
An Automatic Grading System Based on Dynamic Corpora Print E-mail

An Automatic Grading System Based on Dynamic

Corpora

Djamal Bennouar

Department of Computer Science, Bouira University, Algeria

Abstract: Assessment is a key component of the teaching and learning process. In most Algerian Universities, assessing a student’s answer to an open ended question, even if it is a short answer question, is a difficult and time-consuming activity. In order to enhance the learning process quality and the global student evaluation process and to highly reduce the assessment time and difficulties, most Algerian Universities were provided with an e-learning environment as a result of a Government initiative. Unfortunately,   such environment seems to be rarely used in the student’s assessment process mainly due to the inefficiency of its Automatic Grading Subsystem (AGS) and the underlying corpora.  A corpora used in the grading process contains a great number of miscellaneous answers, each one graded by more than two experts.  Building efficient corpora for a course is actually a challenge. The underlying subjectivity in grading answers may have a serious impact in the corpus quality . The specific course context defined by a teacher and the time dependent grading strategy may make very difficult the construction of traditional course corpora.  This paper presents a short answer AGS which has the capacity to dynamically build an up to date corpus related to each correct reference short answer. The automatically generated corpus is mainly based on a variety of indications specified by the teacher for each reference short answer. The early experiment of the presented AGS has shown its high efficiency for the automatic answers grading in some computer science courses.

Keywords: architectures for educational technology system, country-specific developments, distance education and e-learning, evaluation methodologies, Computer Aided Assessment, Automatic Grading System, Short answer, Corpus, Answers predicting, text similarity.

Received ***, 2017; accepted ***, 2017

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Euclidean and Geodesic Distance between a Facial Feature Points in Two-Dimensional Face Recognition Print E-mail

Euclidean and Geodesic Distance between a Facial Feature Points in Two-Dimensional Face

Recognition System

Rachid Ahdid1,2, Said Safi1 and Bouzid Manaut2

1Department of Mathematics and Informatics, Sultan Moulay Slimane University, Morocco

2LIRST, Poladisciplinary Faculty, Sultan Moulay Slimane University, Morocco

Abstract:  In this paper,  we present two features extraction methods for two-dimensional face recognition. We have used the facial feature point detection to compute the Euclidean Distance between all pairs of these points for the first approach (ED-FFP) and Geodesic Distance (GD-FFP) in the second one. For a suitable comparison, we have employed three well-known classification techniques: Neural Networks (NN), k-Nearest 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). Our results reveal that the extraction of image features is computationally more efficient using Geodesic Distance than Euclidean Distance.

Keywords: Face recognition, landmarks, euclidean distance, geodesic distance, neural networks, k-nearest neighbor and support vector machines.

 

Received 22/5/2017; accepted 15/5/2017

 

Full text 


 
Lorentzian Model of Spatially Coherent Noise Field in Narrowband Direction Finding Print E-mail

Lorentzian Model of Spatially Coherent Noise Field in Narrowband Direction Finding

Youssef Khmou and Said Safi

 Department of Mathematics and informatics, Sultan Moulay Slimane University, Morocco

Abstract: When studying the radiation coming from far field sources using an array of sensors, besides the internal thermal noise, the received wave field is always perturbed by an external noise field, which can be temporally and spatially coherent to some degree, temporally incoherent and spatially coherent, spatially incoherent and temporally correlated or finally, the incoherence in both domains. Thus treating the received data needs to consider the nature of perturbing field in order to make accurate measurements such as powers of punctual sources, theirs locations and the types of waveforms which can be deterministic or random. In this paper, we study the type of temporally white and spatially coherent noise field; we propose a new spatial coherence function using Lorentz function. After briefly describing some existing models, we numerically study the effect of spatial coherence length on resolving the angular locations of closely radiating sources using spectral techniques which are divided into beam forming and subspace based methods, this study is made comparatively to temporally and spatially white noise with the same power as the proposed one in order to make a precise comparisons.

Keywords: Spatial coherence function, narrowband, direction of arrival, Lorentz function, coherence length.

Received February 10, 2017; accepted May 10, 2017

 
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