Automatic name extraction from degraded document images

The problem addressed in this paper is the automatic extraction of names from a document image. Our approach relies on the combination of two complementary analyses. First, the image-based analysis exploits visual clues to select the regions of interest in the document. Second, the textual-based analysis searches for name patterns and low-level word textual features. Both analyses are then combined at the word level through a neural network fusion scheme. Reported results on degraded documents such as facsimile and photocopied technical journals demonstrate the interest of the combined approach. Keywords Document image analysis

• Type: Journal
• Year: 2006
• Where: PAA
• Authors: Laurence Likforman-Sulem, Pascal Vaillant, Aliette de Bodard de la Jacopière
• Keywords: Distributed And Parallel Computing, Document, Document Image, PAA 2006, Visual Clues