From Text and Image to Historical Resource: Text-Image Alignment for Digital Humanists

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. From Text and Image to Historical Resource: Text-Image Alignment for Digital Humanists Dominique Stutzmann, Théodore Bluche, Alexei Lavrentiev, Yann Leydier, Christopher Kermorvant

[1]  Alicia Fornés,et al.  Transcription alignment of Latin manuscripts using hidden Markov models , 2011, HIP '11.

[2]  Marcus Liwicki,et al.  WFST-based ground truth alignment for difficult historical documents with text modification and layout variations , 2013, Electronic Imaging.

[3]  James Allan,et al.  Text alignment with handwritten documents , 2004, First International Workshop on Document Image Analysis for Libraries, 2004. Proceedings..

[4]  Antonio Pflüger,et al.  Executive Summary. , 2012, Journal of the ICRU.

[5]  Laurence Likforman-Sulem,et al.  Text Line Segmentation of Historical Arabic Documents , 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

[6]  Tal Hassner,et al.  Digital Palaeography: New Machines and Old Texts (Dagstuhl Seminar 14302) , 2014, Dagstuhl Reports.

[7]  Christopher Kermorvant,et al.  Automatic Line Segmentation and Ground-Truth Alignment of Handwritten Documents , 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

[8]  Tal Hassner,et al.  OCR-Free Transcript Alignment , 2013, 2013 12th International Conference on Document Analysis and Recognition.

[9]  Véronique Eglin,et al.  Learning-Free Text-Image Alignment for Medieval Manuscripts , 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

[10]  Horst Bunke,et al.  Automatic segmentation of the IAM off-line database for handwritten English text , 2002, Object recognition supported by user interaction for service robots.