Éditeur(s) : HAL CCSD
Résumé : International audience
The development of predictive tools has been commonly utilized as the most effective manner to prevent illnesses thatstrike suddenly. Within this context, investigations linking fine human motor control with brain stroke risk factors areconsidered to have a high potential but they are still in an early stage of research. The present paper analysesneuromuscular features of oscillatory movements based on the Omega-Lognormal model of the Kinematic Theory. On adatabase of oscillatory movements from 120 subjects, we demonstrate that the proposed features differ significantlybetween subjects with and without brain stroke risk factors. This promising result motivates the development ofpredictive tools based on the Omega-Lognormal model.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165773
https://hal.univ-antilles.fr/hal-01165773
https://hal.univ-antilles.fr/hal-01165773/document
https://hal.univ-antilles.fr/hal-01165773/file/IGS_2015_submission_9.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
Extract the features for a multi-touch gesture is difficult due to the complex temporal and motion relations between multiple trajectories. In this paper we present a new generic graph model to quantify the shape, temporal and motion information from multi-touch gesture. To make a comparison between graph, we also propose a specific graph matching method based on graph edit distance. Results prove that our graph model can be fruitfully used for multi-touch gesture pattern recognition purpose with the classifier of graph embedding and SVM.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165768
https://hal.univ-antilles.fr/hal-01165768
https://hal.univ-antilles.fr/hal-01165768/document
https://hal.univ-antilles.fr/hal-01165768/file/IGS_2015_submission_6.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
We propose an algorithm based on a model of visual perception that is meant to reflect the human judgment about the similarity of handwritten samples. The algorithm builds upon the Fuzzy Feature Contrast model and proposes an implementation of such a model in the domain of handwriting. The algorithm has been validated on the RIMES dataset, by comparing its performance with those of a panel of human experts. The experimental results show that the performance of the proposed algorithm is almost indistinguishable from the expert one and therefore may be a viable tool for handwriting comparison.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165766
https://hal.univ-antilles.fr/hal-01165766
https://hal.univ-antilles.fr/hal-01165766/document
https://hal.univ-antilles.fr/hal-01165766/file/IGS_2015_submission_5.pdf

Éditeur(s) : HAL CCSD
Séminaire du laboratoire Lamia
Pointe-à-Pitre, Guadeloupe

hal-00606661
https://hal.archives-ouvertes.fr/hal-00606661

Éditeur(s) : HAL CCSD
CIMODE06 "International Conference on Mathematicas of Optimization and decision making"
Pointe-à-Pitre, Guadeloupe

hal-00514922
https://hal.archives-ouvertes.fr/hal-00514922

Éditeur(s) : HAL CCSD
Résumé : International audience
Récentes avancées sur le probleme de Helmholtz
Pointe-à-Pitre, Guadeloupe

hal-00771459
https://hal.univ-antilles.fr/hal-00771459

Éditeur(s) : HAL CCSD
Séminaire du laboratoire Lamia
Pointe-à-Pitre, Guadeloupe

hal-00606662
https://hal.archives-ouvertes.fr/hal-00606662

Éditeur(s) : HAL CCSD
Séminaire du LAMIA
Pointe-à-Pitre, Guadeloupe

hal-00514945
https://hal.archives-ouvertes.fr/hal-00514945

Éditeur(s) : HAL CCSD
Résumé : International audience
The goal of our experiment is to develop a useful and accessible tool that can be used to evaluate a patient's health by analyzing handwritten strokes. We use a cloud computing approach to analyze stroke data sampled on a commercial tablet working on the Android platform and a distant server to perform complex calculations using the Delta and Sigma lognormal algorithms. A Google Drive account is used to store the data and to ease the development of the project. The communication between the tablet, the cloud and the server is encrypted to ensure biomedical information confidentiality. Highly parameterized biomedical tests are implemented on the tablet as well as a free drawing test to evaluate the validity of the data acquired by the first test compared to the second one. A blurred shape model descriptor pattern recognition algorithm is used to classify the data obtained by the free drawing test. The functions presented in this paper are still currently under development and other improvements are needed before launching the application in the public domain.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165890
https://hal.univ-antilles.fr/hal-01165890
https://hal.univ-antilles.fr/hal-01165890/document
https://hal.univ-antilles.fr/hal-01165890/file/IGS_2015_submission_20.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
Here is a description of an ideal that plays an important part in the construction of projective Reed-Muller codes. The use of Eagon-Northcott complex which is a generalisation of the Koszul complex gives us a method to compute dimensions of projective Reed-Muller codes. Moreover a calculus of dimensions gives us a combinatoric identity. This communication is issued from a paper admitted in the Journal of Pure and Applied Algebra and we have adjoined a straightforward and subtle proof of the combinatoric identity given by Michel Quercia.
Actes du Colloque "Caribbean Mathematical Colloquium"
Pointe-à-Pitre, Guadeloupe

hal-00771897
https://hal.univ-antilles.fr/hal-00771897

Éditeur(s) : HAL CCSD Advisory Council on Underwater Archaeology Publication
Résumé : International audience
This paper presents part of the results of historical research for a PhD thesis focusing on seafaring and maritime activityin Guadeloupe, French West Indies (FWI). Additionally, it discusses the possible identification of five shipwreck sitesthat appear to date to the 19th century: Anse à la Barque, Pointe-à-Pitre, Baie des Saintes, Sainte-Anne and Le Mouleshipwrecks.
ACUA Underwater Archaeology Proceedings 2014

hal-01443278
https://hal.archives-ouvertes.fr/hal-01443278
https://hal.archives-ouvertes.fr/hal-01443278/document
https://hal.archives-ouvertes.fr/hal-01443278/file/ACUA%202014%20Proceedings%20Guibert-2.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
Indic scripts are among few scripts in the world that have had continuous development for more than two millennia. The modern forms of the scripts are the result of infinitesimal changes in handwriting being accumulated over centuries. They present us with a unique opportunity to understand various changes occurring in handwriting behavior. We have taken four major Indic scripts in six different stages of evolution and extracted features quantifying their handwriting behavior. We have derived these features by applying the principles of handwriting production and gesture analysis on a paleographic data set. We present various trends and behaviors that occurred during script development and discuss our interpretation of the results in terms of evolution of handwriting behavior. We then briefly discuss the detailed analyses that will be performed on the dataset in the future. We also consider the applications of these results in digital paleography and handwriting-driven systems.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165770
https://hal.univ-antilles.fr/hal-01165770
https://hal.univ-antilles.fr/hal-01165770/document
https://hal.univ-antilles.fr/hal-01165770/file/IGS_2015_submission_8.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
The large majority of methods proposed in literature for handwriting recognition assume that words are produced drawing large parts of the ink without lifting the pen, other than horizontal bars and dots. This fundamental assumption, however, does not always hold: while some educational systems provide explicit training for producing continuous handwriting, minimizing the number of pen-up during the production of a word, others do not. As a consequence, whenever the handwriting presents pen-up within a word, the recognition performance can drop significantly. In a preliminary study, we presented an algorithm for discriminating among different types of ink appearing in handwriting, namely isolated characters, cursive, dots, horizontal and vertical bars, based on the use of a suitable set of features. In this paper, we have characterized the discriminative power of each considered feature according to different measures and we have proposed a method for combining the different feature rankings. We have also used the Fischer's Linear Discriminant Analysis (LDA) for exhaustively selecting the best feature subsets with increasing number of features. Finally, we have compared the results obtained by using the feature subsets provided by LDA with those obtained with the feature subsets selected according to our feature ranking. The experimental results, on different datasets of handwritten words, showed that our approach successfully achieves its aim allowing to reduce the computational cost without affecting the overall performance of the recognition process.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165877
https://hal.univ-antilles.fr/hal-01165877
https://hal.univ-antilles.fr/hal-01165877/document
https://hal.univ-antilles.fr/hal-01165877/file/IGS_2015_submission_13.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
This paper addresses the problem of word spotting in handwritten documents. The method is segmentation-free and follows the query-by-string paradigm. In the paper, we focus on the first step of the whole bio-inspired process that is based on two filtering steps, which are a global filtering followed by a more local filtering after a change of observation scale. The contribution of this approach is the use and the generalization of the Haar-Like-Features for the analysis of the document images, inspired from the famous visual perception principle. Different pieces of information are extracted from the whole image before drawing a conclusion, after a process of accumulation of votes. The method is evaluated using the IAM Handwriting Database.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165920
https://hal.univ-antilles.fr/hal-01165920
https://hal.univ-antilles.fr/hal-01165920/document
https://hal.univ-antilles.fr/hal-01165920/file/IGS_2015_submission_33.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
Handwritten signatures are considered one of the most useful biometric traits for personal verification. In the networked society, in which a multitude of different devices can be used for signature acquisition, specific research is still needed to determine the extent to which features of an input signature depend on the characteristics of the signature apposition process. In this paper an experimental investigation was carried out on constrained signatures, which were acquired using writing boxes having different area and shape, and the different behaviour of dynamic features with respect to the writing boxes are discussed.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165894
https://hal.univ-antilles.fr/hal-01165894
https://hal.univ-antilles.fr/hal-01165894/document
https://hal.univ-antilles.fr/hal-01165894/file/IGS_2015_submission_23.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
9th Meeting of the Caribbean Academy of Science
Pointe-à-Pitre, Guadeloupe

hal-00778160
https://hal.univ-antilles.fr/hal-00778160

Éditeur(s) : HAL CCSD
Résumé : International audience
Signatures provide a convenient and widely accepted method of authentication, however they are prone to attack by forgery. This can be mitigated to an extent by analysing both the static and dynamic biometric aspects of construction, however the possibly for accurate forgery from a static image of a genuine signature still exists. In this study we explore initial forgery accuracy of a range of genuine signatures and how accuracy changes as a forger receives feedback from a commercial signature engine in terms of a 'match score'. We also explore the effects of genuine signature complexity on forgery performance alongside the image size of the genuine signature to be forged. Our results show that forgers are able improve performance over time on simple signatures (including those with less pen travel distance) and that a magnified genuine sample enables more accurate forgery for these class of signatures. More complex signatures result in lower forged verification scores and irregular patterns of improvement across the five forgeries. Overall verification match scores were typically less than 80% for most attempts regardless of signature complexity, thus indicating the resilience of dynamic systems to unskilled forgery attempts.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165763
https://hal.univ-antilles.fr/hal-01165763
https://hal.univ-antilles.fr/hal-01165763/document
https://hal.univ-antilles.fr/hal-01165763/file/IGS_2015_submission_1.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
Actes du colloque Carribean Mathematical Colloquium
Pointe-à-Pitre, Guadeloupe

hal-00771907
https://hal.univ-antilles.fr/hal-00771907

Éditeur(s) : HAL CCSD
Résumé : Afin de prévoir l'évolution des phénomènes naturels, sans discontinuité, des milliers d'images satellites alimentent les stations météorologiques. Ce flot permanent d'informations nécessite rapidité et rigueur d'analyse. Il est donc indispensable de mettre en place des systèmes capables de travailler nuit et jour afin de dresser des bilans exploitables par les chercheurs. Nous proposons dans cet article une méthode, basée sur des techniques d'investigation en reconnaissance des formes, telles que la segmentation et la classification. Ces techniques seront utilisées pour localiser et discriminer les masses nuageuses issues d'images captées par le satellite géostationnaire GOES. Le traitement des formes nuageuses trouvées se fait en utilisant des opérations, telles que la morphologie mathématique afin d'extraire des caractéristiques discriminantes. Pour l'interprétation des caractéristiques obtenues et pour effectuer la classification des nuages, nous utilisons des systèmes de classeurs.
Journées d'Études et de Recherche des Antilles et de la Guyane
Pointe-à-Pitre, Guadeloupe

hal-00637787
https://hal.archives-ouvertes.fr/hal-00637787

Éditeur(s) : HAL CCSD
Résumé : International audience
This article proposes a new indicator for handwriting examination in text independent framework. Experiments of writer identification are addressed using only handwritten short lines instead of a whole character. After preprocessing such as binarization and contours extraction, profiles of contours of handwritten lines were decomposed with fifth scales wavelet decomposition. As the result, we obtained indicators which showed qualities of handwritten lines such as smooth or jaggy. The indicators were analysed with Principle Component Analysis (PCA), and eigen vectors were obtained. In a phase of writer identification, using Kernel Orthogonal Mutual Subspace Method (KOMSM), subspace was calculated by the eigen vectors. The result obtained through the experiments was not enough to satisfy. In future works, the proposed method will be applied to whole handwritten characters.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165761
https://hal.univ-antilles.fr/hal-01165761
https://hal.univ-antilles.fr/hal-01165761/document
https://hal.univ-antilles.fr/hal-01165761/file/IGS_2015_submission_2.pdf