HBA 1.0
Maroua Mehri|Pierre Héroux|Rémy Mullot|Jean-Philippe Moreux|Bertrand Coüasnon|Bill Barrett
This paper introduces HBA 1.0, a representative pixel-based annotated dataset which is released at the ICDAR2017 Competition on Historical Book Analysis (HBA2017). The 1.0 composed of 4,436 real scanned ground truthed historical document images from 11 books (6 manuscripts and 5 printed books) in different languages scripts published between 13th 19th centuries. contains 2,435 2,001 manuscript pages, respectively. truth more than 7.58 billion pixels. addresses thriving topic major interest many researchers fields including (historical) image analysis, processing, pattern recognition classification. its can be used to evaluate capabilities analysis methods discriminate textual content graphical ones one hand, separate according text fonts (e.g. lowercase, uppercase, italic) other hand. Evaluation results state-of-the-art pixel-labeling method are reported discussed this order provide benchmark/baseline for future evaluation studies showcase intended use dataset.
HAL (Le Centre pour la Communication Scientifique Directe)|HAL (Le Centre pour la Communication Scientifique Directe)