ICFHR2016 Competition on the Classification of Medieval Handwritings in Latin Script

Autor: Van Cuong Kieu, Dominique Stutzmann, Nicole Vincent, Florence Cloppet, Véronique Eglin
Přispěvatelé: Eglin, Véronique, Laboratoire d'Informatique Paris Descartes (LIPADE - EA 2517), Université Paris Descartes - Paris 5 (UPD5), Extraction de Caractéristiques et Identification (imagine), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), Institut de recherche et d'histoire des textes (IRHT), Centre National de la Recherche Scientifique (CNRS), Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), Laboratoire d'Informatique Paris Descartes ( LIPADE - EA 2517 ), Université Paris Descartes - Paris 5 ( UPD5 ), Extraction de Caractéristiques et Identification ( imagine ), Laboratoire d'InfoRmatique en Image et Systèmes d'information ( LIRIS ), Université Lumière - Lyon 2 ( UL2 ) -École Centrale de Lyon ( ECL ), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ) -Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Université Lumière - Lyon 2 ( UL2 ) -École Centrale de Lyon ( ECL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Institut de recherche et d'histoire des textes ( IRHT ), Centre National de la Recherche Scientifique ( CNRS )
Rok vydání: 2016
Předmět:
[ INFO.INFO-TT ] Computer Science [cs]/Document and Text Processing
Fuzzy classification
Image classification
Computer science
[INFO.INFO-TT] Computer Science [cs]/Document and Text Processing
02 engineering and technology
[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Latin script classification
01 natural sciences
[ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG]
Task (project management)
Set (abstract data type)
[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Handwriting
0103 physical sciences
Classifier (linguistics)
0202 electrical engineering
electronic engineering
information engineering

Historical documents
010306 general physics
Contextual image classification
business.industry
[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Latin script
[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing
Character style recognition
Handwriting recognition
Feature extraction
020201 artificial intelligence & image processing
Artificial intelligence
business
Zdroj: ICFHR
HAL
International Conference in Frontiers on Handwriting Recognition ICFHR 2016
International Conference in Frontiers on Handwriting Recognition ICFHR 2016, Oct 2016, Shenzhen, China
International Conference in Frontiers on Handwriting Recognition ICFHR 2016, Oct 2016, Shenzhen, China. 2016, 〈http://www.nlpr.ia.ac.cn/icfhr2016/〉
DOI: 10.1109/icfhr.2016.0113
Popis: This paper presents the results of the ICFHR2016 Competition on the Classification of Medieval Handwritings in Latin Script (CLaMM), jointly organized by Computer Scientists and Humanists (paleographers). This work aims at providing a rich database of European medieval manuscripts to the community on Handwriting Analysis and Recognition. At this competition, we proposed two independent classification tasks which attracted five participants with seven submitted classifiers. Those classifiers are trained on a set of 2000 images with their ground truths. In the first task of script crisp classification, the classifiers have been evaluated on a test set of 1000 single-type manuscripts. In the second task of "Fuzzy Classification", the classifiers have been carried out on a set of 2000 multi-script-type manuscripts. The results of the participants provide the first baseline evaluation up to the accuracy score of 83.9% for the task 1 and to the fuzzy weighted score of 2.96/4 for the task 2. An analysis based on the intra-class distance and matrix of confusion of each classifier is also given.
Databáze: OpenAIRE