ICFHR2016 Competition on the Analysis of Handwritten Text in Images of Balinese Palm Leaf Manuscripts
| Autor: | Erick Paulus, Setiawan Hadi, Kimheng Sok, Jean-Marc Ogier, Dona Valy, Mickael Coustaty, I Made Gede Sunarya, Made Windu Antara Kesiman, Jean-Christophe Burie |
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| Rok vydání: | 2016 |
| Předmět: |
Computer science
business.industry Speech recognition Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Spotting Document analysis computer.software_genre Handwriting recognition ComputingMethodologies_DOCUMENTANDTEXTPROCESSING 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Palm business computer Character recognition Natural language processing |
| Zdroj: | ICFHR |
| DOI: | 10.1109/icfhr.2016.0114 |
| Popis: | This paper presents the results of the Competition on the Analysis of Handwritten Text in Images of Balinese Palm Leaf Manuscripts that was organized in the context of the 15th International Conference on Frontiers in Handwriting Recognition (ICFHR-2016). This competition provides a suitable challenge for testing and evaluation of robustness for some methods, image features and descriptors which were already proposed for handwritten text analysis of document image. In this competition, three different challenges in document analysis of palm leaf manuscript images are proposed: Challenge 1: Binarization of Palm Leaf Manuscript Images, Challenge 2: Query-by-Example Word Spotting on Palm Leaf Manuscript Images, and Challenge 3: Isolated Character Recognition of Balinese Script in Palm Leaf Manuscript Images. The first handwritten Balinese palm leaf manuscript dataset, the AMADI_LontarSet, is used for performance evaluation. This paper describes the competition details including the dataset creation and the ground truth construction, the evaluation measures used, a short description of each participant as well as the performance of the all submitted methods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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