A typed and handwritten text block segmentation system for heterogeneous and complex documents

P. Barlas (1, 2) , Sébastien Adam (1, 2) , C. Chatelain (1, 2) , T. Paquet (1, 2)

1 LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes
2 DocApp - LITIS - Equipe Apprentissage

This paper presents a Document Image Analysis (DIA) system able to extract homogeneous typed and handwritten text regions from complex layout documents of various types. The method is based on two connected component classification stages that successively discriminate text/non text and typed/handwritten shapes, followed by an original block segmentation method based on white rectangles detection. We present the results obtained by the system during the first competition round of the MAURDOR campaign.

Domaines: Traitement du texte et du document

P. Barlas, Sébastien Adam, C. Chatelain, T. Paquet. A typed and handwritten text block segmentation system for heterogeneous and complex documents. Document Analysis Systems, Apr 2014, Tours, France. 6p. ⟨hal-00981245⟩