Download or read book MODELISATION MARKOVIENNE DE L ECRITURE MANUSCRITE APPLICATION A LA RECONNAISSANCE DES ADRESSES POSTALES written by ABDENAIM.. EL YACOUBI and published by . This book was released on 1996 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: NOUS DECRIVONS DANS CE DOCUMENT UNE NOUVELLE METHODE DE MODELISATION DE L'ECRITURE POUR LA RECONNAISSANCE DE MOTS OU DE LOCUTIONS MANUSCRITES. LA TECHNIQUE PROPOSEE CONSISTE A REALISER UNE CARACTERISATION STATISTIQUE DE L'ECRITURE FONDEE SUR LES MODELES DE MARKOV. LE SYSTEME MIS AU POINT APPARTIENT A LA FAMILLE DES SYSTEME OMNI-SCRIPTEUR DE RECONNAISSANCE HORS-LIGNE DES MOTS MANUSCRITS SANS CONTRAINTE DANS UN VOCABULAIRE OUVERT MAIS LIMITE DYNAMIQUEMENT. LE CARACTERE REEL DE L'APPLICATION NOUS EXPOSE A PLUSIEURS DIFFICULTES TELLES QUE LA PRESENCE DE TOUS LES TYPES D'ECRITURE POSSIBLES (BATON, CURSIF, MIXTE), LA VARIATION DANS LES STYLES D'ECRITURE (ECRITURE PENCHEE, TAILLE VARIABLE, ETC.), LE PHENOMENE FREQUENT DES VARIANTES D'ECRITURE, OU ENCORE LES ERREURS DES SCRIPTEURS LORS DE LA REDACTION D'UNE PHRASE OU D'UN MOT. EN REVANCHE, L'APPLICATION ADMET QUELQUES CARACTERISTIQUES POSITIVES QUI FACILITENT LA TACHE DE RECONNAISSANCE. NOTAMMENT, LES LOCUTIONS SONT COMPOSES DE PLUSIEURS MOTS, ET SONT DONC CODES SUR PLUSIEURS CARACTERES. CETTE REDONDANCE REDUIT CONSIDERABLEMENT L'AMBIGUITE ENTRE LES FORMES SOUMISES A LA RECONNAISSANCE. D'AUTRE PART, DES PHRASES DIFFERENTES POSSEDENT RAREMENT DES MOTS COMMUNS, CE QUI AUGMENTE LES CHANCES DE DISCRIMINATION ENTRE LES DIFFERENTS CANDIDATS. NOUS FONDONS NOTRE SYSTEME SUR UNE APPROCHE DE SEGMENTATION BASEE SUR LA RECONNAISSANCE GUIDEE PAR LEXIQUE ET UTILISANT LES MODELES DE MARKOV CACHES. CETTE APPROCHE ADMET UN CARACTERE GLOBAL EN CE SENS QU'ELLE PRIVILEGIE LES DECISIONS DOUCES PAR RAPPORT AUX DECISIONS DURES. LA MODELISATION MARKOVIENNE PERMET D'INTEGRER PLUSIEURS NIVEAUX DE CONNAISSANCE AU SEIN D'UNE REPRESENTATION UNIQUE. CES NIVEAUX CORRESPONDENT A LA RECONNAISSANCE AU NIVEAU CARACTERE, AU NIVEAU MOT, AUX CONNAISSANCES A PRIORI SUR LE LANGAGE DE L'APPLICATION CONSIDEREE, ETC. LES DIFFERENTES ETAPES DU SYSTEME INTERAGISSENT POUR DELIVRER UNE DECISION LORS DE LA RECONNAISSANCE. POUR VALIDER NOTRE METHODE, NOUS AVONS DEVELOPPE UN SYSTEME COMPLET POUR LA RECONNAISSANCE DES MOTS MANUSCRITS DANS LES ADRESSES POSTALES. CE SYSTEME PERMET DE RECONNAITRE ET DE LOCALISER CONJOINTEMENT LE NOM DE VOIE DANS UNE LIGNE DE DISTRIBUTION ET POSSEDE LA CAPACITE D'ETABLIR UNE DECISION DE REJET EN CAS D'AMBIGUITE OU SI LA LIGNE TRAITEE NE CORRESPOND PAS A UNE LIGNE DE DISTRIBUTION. LES TESTS D'EVALUATION SUR DES IMAGES OBTENUES A PARTIR DES ENVELOPPES DU COURRIER REEL DONNENT DES RESULTATS TRES ENCOURAGEANTS ET PROUVENT LA ROBUSTESSE DE NOTRE SYSTEME. DANS LA PREMIERE PARTIE DE CE RAPPORT, NOUS DONNONS UNE VUE GENERALE DU PROBLEME DE LA RECONNAISSANCE DE L'ECRITURE MANUSCRITE EN DISCUTANT LES PROBLEMES RENCONTRES ET LES DIFFERENTES APPROCHES UTILISEES DANS LE DOMAINE. LA SECONDE PARTIE DECRIT DANS L'ORDRE CHRONOLOGIQUE LES DIFFERENTES PHASES DE TRAITEMENT QUI COMPOSENT NOTRE SYSTEME : LES PRETRAITEMENTS, LA SEGMENTATION DES MOTS EN CARACTERES, L'EXTRACTION DE PRIMITIVES ET LA RECONNAISSANCE.

Download or read book Image and Signal Processing written by Abderrahim Elmoataz and published by Springer Science & Business Media. This book was released on 2008-06-24 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Image and Signal Processing, ICISP 2008, held in Cherbourg-Octeville, France, in July 2008. The 48 revised full papers and 22 revised poster papers presented were carefully reviewed and selected from 193 submissions. The papers are organized in topical sections on image filtering, image segmentation, computer vision, feature extraction, pattern recognition, graph-based representations, motion detection and estimation, new interfaces, document processing, and signal processing.

Download or read book Mathematical Morphology and Its Applications to Image and Signal Processing written by John Goutsias and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical morphology is a powerful methodology for the processing and analysis of geometric structure in signals and images. This book contains the proceedings of the fifth International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, held June 26-28, 2000, at Xerox PARC, Palo Alto, California. It provides a broad sampling of the most recent theoretical and practical developments of mathematical morphology and its applications to image and signal processing. Areas covered include: decomposition of structuring functions and morphological operators, morphological discretization, filtering, connectivity and connected operators, morphological shape analysis and interpolation, texture analysis, morphological segmentation, morphological multiresolution techniques and scale-spaces, and morphological algorithms and applications. Audience: The subject matter of this volume will be of interest to electrical engineers, computer scientists, and mathematicians whose research work is focused on the theoretical and practical aspects of nonlinear signal and image processing. It will also be of interest to those working in computer vision, applied mathematics, and computer graphics.

Download or read book Advances in Document Image Analysis written by Nabeel A. Murshed and published by Springer Science & Business Media. This book was released on 1997-10-22 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First Brazilian Symposium on Document Image Analysis, BSDIA'97, held in Curitiba in November 1997. The volume presents 19 revised full papers selected from 30 submissions as well as eight full-paper invited contributions by internationally leading authorities. The invited papers give a unique survey of the state of the art in the area. The selected papers are organized in sections on low level processing, document processing and retrieval, handwriting recognition, signature verification, and application systems.

Download or read book Modelisation stochastique du signal ecrit par chaines de Markov cachees application a la reconnaissance automatique de l ecriture manuscrite written by Sophie Bercu and published by . This book was released on 1994 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Mod lisation stochastique du signal crit par cha nes de Markov cach es written by Sophie Bercu and published by . This book was released on 1994 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Avec le développement récent du multi-media et le désir de rendre la communication homme-machine plus naturelle et plus conviviale, de nouvelles interfaces orientées stylo sont apparues. L'acquisition des données se fait alors par l'intermédiaire d'un papier électronique et d'un stylo. Dans le cadre de l'interface entre la tablette et l'ordinateur, nous présentons dans cette thèse un système de reconnaissance en-ligne de mots dans un vocabulaire limité. La difficulté de la reconnaissance de l'écriture cursive manuscrite provient du degré important de variabilité inter- et intra-scripteur. Notre souci est de tenir compte de cette variabilité a tous les niveaux du traitement: lors du pretraitement, de l'extraction de primitives et enfin de la reconnaissance. Le pretraitement proposé reduit la quantité d'informations à analyser sans toutefois perdre d'informations pertinentes pour la reconnaissance du mot. Le choix des primitives constitue l'une des originalités de ce travail car elles tiennent compte des mécanismes de l'écriture ce qui élargit la reconnaissance a un grand nombre de scripteurs. La reconnaissance des mots est mise en oeuvre par l'intermédiaire d'un modèle de Markov caché construit à partir de ces primitives. Ce modèle est particulièrement bien adapté à notre problème: il permet d'intégrer différentes sources de connaissances nécessaires à la reconnaissance des mots et de par sa structure aléatoire, modélisé au mieux les phénomènes de variabilité de l'écriture. Les résultats obtenus attestent de l'intérêt et de l'efficacité de cette approche

Download or read book Reconnaissance de l criture manuscrite written by and published by Ed. Techniques Ingénieur. This book was released on with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Comptes Rendus written by and published by . This book was released on 1999 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Reconnaissance d criture manuscrite par des techniques markoviennes written by Sylvain Chevalier and published by . This book was released on 2004 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nous présentons une approche de reconnaissance d'écriture manuscrite à partir des champs de Markov cachés et fondée sur une analyse entièrement bidimensionelle de l'écriture. Son originalité réside dans la combinaison d'une analyse fenêtrée de l'image, d'une modélisation markovienne et dans la mise en oeuvre de la programmation dynamique 2D qui permet un décodage rapide et optimal des champs de Markov. Un aspect important de ces travaux est la méthodologie de développement employée qui est centrée sur l'évaluation systématique des apports algorithmiques et des paramètres utilisés. Ces algorithmes sont en partie empruntés aux techniques utilisées dans le domaine de la reconnaissance de la parole et sont très génériques. L'approche proposée est validée sur deux applications corréspondant à des bases de données standard et librement disponibles. L'application de cette méthode extrêmement générique à une tâche de reconnaissance de chiffres manuscrits a permis d'obtenir des résultats comparables à ceux de l'état de l'art. L'application à une tâche de reconnaissance de mots manuscrits a permis de confimer que l'extension de cette approche à des tâches plus complexes était naturelle. L'ensemble de cette recherche a démontré la validité de l'approche développée qui apparaît comme candidate au statut d'approche standard à plusieurs problèmes de vision. En outre, elle ouvre la voie à de très nombreux développements concernant la tâche de traitement de l'écriture manuscrite et des améliorations significatives pourraient encore être apportées en recourant à d'autres principes issus du traitement de la parole et du langage. D'autres tâches comme la segmentation d'images devraient tirer avantage de la robustesse et de la faculté d'apprentissage de la modélisation que nous proposons.

Download or read book Mod les markoviens uni et bidimensionnels pour la reconnaissance de l criture manuscrite hors ligne written by George Saon and published by . This book was released on 1997 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cette thèse porte sur l'étude de modélisations stochastiques markoviennes de nature et dimension variables et sur leur application à la reconnaissance de l'écriture manuscrite hors-ligne dans un vocabulaire réduit. Pour les modèles ID, une comparaison est faite entre les HMMs (discrets et semi-continus ) et le modèle à base de trajectoires stochastiques (STM). Les modèles pseudo-2D ou planaires constituent une étape intermédiaire importante dans l'extension de l'appariement élastique au plan. L'accent est mis ensuite sur l'utilisation des champs aléatoires causaux où nous introduisons un nouveau modèle appelé NSHP-HMM. Les propriétés de ce modèle ainsi que les expérimentations effectuées sur la reconnaissance de caractères (imprimés et manuscrits), chiffres manuscrits et mots manuscrits non-contraints dans un vocabulaire réduit sont traitées en détail. L'étude des mécanismes d'apprentissage et des stratégies de reconnaissance est transversale à toutes les modélisations considérées. Dans cette lignée, des réflexions sur la combinaison de classifieurs et sur l'étude du rejet sont émises. Un calcul de complexité accompagné d'éléments liés à l'implémentation montre la faisabilité des modèles proposés dans le cadre d'une application réelle.

Download or read book Reconnaissance de L criture Manuscrite En ligne Par Approche Combinant Syst mes Vastes Marges Et Mod les de Markov Cach s written by Abdul Rahim Ahmad and published by . This book was released on 2008 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handwriting recognition is one of the leading applications of pattern recognition and machine learning. Handwriting recognition systems have been used as an imput method of many electronic devices and helps in the automation of many manual tasks. To further open the avenues of expanding its applications, specific improvements need to be made in the recognition capability of the system. Hidden Markov Model (HMM) has been the dominant methods of the recognition in handwriting recognition in offline and online systems. However, the use of Gaussian observation densities in HMM and representational model for word modeling often does not lead to good classification. Hybrid of Neural Network (NN) and HMM later improves word recognition by taking advantage of NN discriminative property and HMM representational capability. However, the use of NN does not optimize recognition capability as the use Empirical Risk minimization (ERM) principle in its training leads to poor generalization. In this thesis, we focus on improving the recognition capability of a cursive online handwritten word recognition system by using an emerging method in machine learning, the support vector machine (SVM). We first evaluated SVM in isolated character recognition environment using IRONOFF and UNIPEN character databases. SVM, by its use of principle of structural risk minimization (SRM) have allowed simultaneous optimization of representational and discriminative capability of the character recognizer. We finally demonstrate the various practical issues in using SVM within a hybrid setting with HMM. In addition, we tested the hydrid system of the IRONOFF word database and obtained satisfactory results.

Download or read book Mod les de Markov multi flux pour la reconnaissance de l criture manuscrite multi scripts written by Yousri Kessentini and published by . This book was released on 2009 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: This PhD thesis is meant to be applied to multi-script handwritten word recognition. The proposed system is script independent. It proceeds without explicit segmentation of handwritting into graphemes and makes use of low level feature sets irrespective of the scripts. Features are then combined according to the multi-stream paradigm. Other track has been explored in this PhD thesis exploiting the Dempster-Shafer theory to propose a new combination rules in the multi-stream HMM. The developed system has been tested on two publicy available databases : the benchmark database IFN/ENIT (for arabic script) , IRONOFF and RIMES databases (for latin script). For both scripts, the result shows significant improvement while using a multi-stream approach.

Download or read book The Application of Hidden Markov Models in Speech Recognition written by Mark Gales and published by Now Publishers Inc. This book was released on 2008 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Application of Hidden Markov Models in Speech Recognition presents the core architecture of a HMM-based LVCSR system and proceeds to describe the various refinements which are needed to achieve state-of-the-art performance.

Download or read book Graphics Recognition Algorithms and Applications written by Dorothea Blostein and published by Springer. This book was released on 2014-10-08 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents refereed and revised papers presented at GREC 2001, the 4th IAPR International Workshop on Graphics Recognition, which took place in Kingston, Ontario, Canada in September 2001. Graphics recognition is a branch of document image analysis that focuses on the recognition of two-dimensional notations such as engineering drawings, maps, mathematical notation, music notation, tables, and chemical structure diagrams. Due to the growing demand for both o?-line and on-line document recognition systems, the ?eld of graphics recognition has an excitingand promisingfuture. The GREC workshops provide an opportunity for researchers at all levels of experience to share insights into graphics recognition methods. The workshops enjoy strongparticipation from researchers in both industry and academia. They are sponsored by IAPR TC-10, the Technical Committee on Graphics Recog- tion within the International Association for Pattern Recognition. Edited v- umes from the previous three workshops in this series are available as Lecture Notes in Computer Science, Vols. 1072, 1389, and 1941. After the GREC 2001 workshop, authors were invited to submit enhanced versions of their papers for review. Every paper was evaluated by three reviewers. We are grateful to both authors and reviewers for their careful work during this review process. Many of the papers that appear in this volume were thoroughly revised and improved, in response to reviewers’ suggestions.

Download or read book Graphics Recognition written by Young-Bin Kwon and published by Springer. This book was released on 2013-02-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Workshop on Graphics Recognition (GREC 2011), held in Seoul, Korea, September 15-16, 2011. The 25 revised full papers presented were carefully selected from numerous submissions. Graphics recognition is a subfield of document image analysis that deals with graphical entities in engineering drawings, sketches, maps, architectural plans, musical scores, mathematical notation, tables, and diagrams. Accordingly the conference papers are organized in 5 technical sessions, covering the topics such as map and ancient documents, symbol and logo recognition, sketch and drawings, performance evaluation and challenge processing.

Download or read book Invariants for Pattern Recognition and Classification written by Marcos A. Rodrigues and published by World Scientific. This book was released on 2000 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book was conceived from the realization that there was a need to update recent work on invariants in a single volume providing a useful set of references and pointers to related work. Since the publication in 1992 of J L Mundy and A Zisserman's Geometric Invariance in Computer Vision, the subject has been evolving rapidly. New approaches to invariants have been proposed and novel ways of defining and applying invariants to practical problem solving are testimony to the fundamental importance of the study of invariants to machine vision. This book represents a snapshot of current research around the world. A version of this collection of papers has appeared in the International Journal of Pattern Recognition and Artificial Intelligence (December 1999). The papers in this book are extended versions of the original material published in the journal. They are organized into two categories: foundations and applications. Foundation papers present new ways of defining or analyzing invariants, andapplication papers present novel ways in which known invariant theory is extended and effectively applied to real-world problems in interesting and difficult contexts. Each category contains roughly half of the papers, but there is considerable overlap. All papers carry an element of novelty and generalization that will be useful to theoreticians and practitioners alike. It is hoped that this volume will be not only useful but also inspirational to researchers in image processing, pattern recognition and computer vision at large.