Abdellatif Benabdelhafid

New features using fractal multi-dimensions for generalized Arabic font recognition

In this work, a new method is proposed to the widely neglected problem of Arabic font recognition, it uses global texture analysis. This method is based on fractal geometry, and the feature extraction does not depend on the document contents. In our method, we take the document as an image containing some specific textures and regard font recognition as texture identification. We have combined both techniques BCD (box counting dimension) and DCD (dilation counting dimension) to obtain the main features. The first expresses texture distribution in 2-D image. The second makes possible to take on the human vision system aspect, since it makes it possible to differentiate one font from another. Both features are expressed in a parametric form; then four features were kept. Experiments are carried out by using 1000 samples of 10 typefaces (each typeface is combined with four sizes). The average recognition rates are of about 96.2% using KNN (K nearest neighbor) and 98% using RBF (radial basic function). Experimental results are also included in the robustness of the method against written size, skew, image degradation (e.g., Gaussian noise) and resolution, and compared with the existing methods. The main advantages of our method are that (1) the dimension of feature vector is very low; (2) the variation sizes of the studied blocks (which are not standardized) are robust; (3) less samples are needed to train the classifier; (4) finally and the most important, is the first attempt to apply and adapt fractal dimensions to font recognition.

Fractal-based system for Arabic/Latin, printed/handwritten script identification

In this paper, we present multilingual automatic identification of Arabic and Latin in both handwritten and printed script. The proposed scheme is based, Firstly, on morphological transform of line text images, secondly on fractal analysis features of both (i): original texture of 2-D images, (ii): vertical and horizontal profile projection. We used two techniques to obtain only 12 features based on fractal multi-dimension. The proposed system has been tested for 1000 prototypes with various typefaces, scriptors styles and sizes. The accuracy discrimination rate is about of 96.64 % by using KNN, and 98.72 % by using RBF. Experimental results show the importance of the proposed approach.

Unsupervised Block Covering Analysis for Text-Line Segmentation of Arabic Ancient Handwritten Document Images

This paper presents a new method for automatic text-line extraction from Arabic historical handwritten documents presenting an overlapping and multi-touching characters problems. Our approach is based on block covering analysis using unsupervised technique. This algorithm performs firstly a statistical block analysis which computes the optimal number of document decomposition into vertical strips. Then, our algorithm achieves a fuzzy base line detection using fuzzy Cmeans algorithm. Finally, blocks are assigned to its corresponding lines. Experiment results show that the proposed method achieves high accuracy about 95% for detecting text lines in Arabic historical handwritten document images written with different scripts.

Can fractal dimension be used in font classification

In this work, we present a new tool for the font optical recognition. This tool is based on the use of the fractal geometry. We used two techniques for obtaining two parameters, they allowed the extraction of the global textures characteristics. These characteristics are expressed in a parametric form. The vision aspect is held in consideration, since it makes it possible to differentiate one font of another. Experiments show the importance of the proposed approach.

R2-IBN: Argumentation Based Negotiation Framework for the Extended Enterprise

Nowadays, in order to face new challenges, extended enterprises must be up to date to the new strategic, economic and organizational structures. Consequently, intelligent software based on agent technology emerges to improve system design, and to increase enterprise competitive position as well. The competitiveness is based on the cooperation. Thus, within this cooperation, conflicts may arise. The automated negotiation plays a key role to look for a common agreement. Argumentation theory has become an important topic in the field of Multi-Agent Systems and especially in the negotiation problem. In this paper, first, an overview of an already proposed model MAIS-E2(Multi-Agent Information System for an Extended Enterprise) is presented. Then an argumentation based negotiation framework: Relationship-Role and Interest Based Negotiation (R2-IBN) framework is presented, and within this framework, we focused mainly on, argument generation module via inference rules and argument selection module via fuzzy logic.

PRAAD: Preprocessing and Analysis Tool for Arabic Ancient Documents

This paper presents the new system PRAAD for preprocessing and analysis of Arabic historical documents. It is composed of two important parts: pre-processing and analysis of ancient documents. After digitization, the color or greyscale ancient documents images are distorted by the presence of strong background artefacts such as scan optical blur and noise, show-through and bleed-through effects and spots. In order to preserve and exploit this cultural heritage documents, we intend to create efficient tool that achieves restoration, binarisation, and analyses the document layout. The developed tool is done by adapting our expertise in document image processing of Arabic ancient documents, printed or manuscripts. The different functions of PRAAD system are tested on a set of Arabic ancient documents from the national library and the National Archives of Tunisia.

Multimodal transport information system: modelling approach for goods traceability

One of the main keys to ensure an optimisation of the supply chain in its globality is to succeed to synchronise the physical and the information flows throughout the various links constituting to the whole of the chain. In an environment with globalising economies and increasing competition leading to the remoteness of the various nodes of supply chain, transport and in particular the multimodal transport takes its full importance. In this context the optimisation of physical movement of goods through a solution of follow-up and traceability can contribute to a better mastery of the various flows of the global supply chain. In this paper, we present on the basis of innovative research approaches a modelling approach of modelling of goods traceability data. Then, in order to integrate our traceability data with the other data of the transport chain, but also in order to facilitate the sharing and the exchange of our data we propose an intermediation platform based on the web services logic.

Data and ontological modelling approach to allowing traceability through freight transportation chain

The role of goods transportation in a globalising world economy becomes very important for the balance of the international supply chains. For this reason, the establishment of goods traceability solution on all their multimodal transport chain, can contribute to the control of flows and allows thus to optimise the supply chain in its totality. To achieve this goal, this paper presents two new modelling approaches for the design of our traceability solution. Thus, we will present our modelling data approach for enabling goods traceability in a multimodal transport context. In a second phase, we will present an integration approach for our traceability solution according to a service-oriented architecture, and which will lead to the modelling of new ontologies for semantic description of our traceability web services.

Information system for freight traceability management in a multimodal transportation context

These last years, in consequence of the various crises experienced by the world (mad-cow disease, Foot-and-mouth disease, dioxin-contaminated chicken, avian influenza), the product traceability has become the focus of interests of many researchers and decision makers.

Web Service in Integrated Logistics Information System

This paper describes a system for the integration of different logistic chain actors. The proposed system exploits the open Internet standards and is based on connection model between Logistic system users and service providers. The Integrated Logistics Information System (ILIS) concerns global logistics and involves interrogating information relating to production means, storage points and means of transport. We study in this paper the problematic of communication inter-and intra-company functions in the ILIS context. By using UML propose a hierarchical model to integrate the different Actors of Logistic chain. By exploiting the open Internet standards we present a services providers platform based on web service approach.