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 ana...

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Bibliographic Details
Published in:Pattern analysis and applications : PAA 2006-10, Vol.9 (2-3), p.211-227
Main Authors: LIKFORMAN-SULEM, Laurence, VAILLANT, Pascal, DE BODARD DE LA JACOPIERE, Aliette
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Computer Science
Computer science
control theory
systems
Connectionism. Neural networks
Document and Text Processing
Exact sciences and technology
Pattern recognition. Digital image processing. Computational geometry
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Summary: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.
ISSN:1433-7541
1433-755X
DOI:10.1007/s10044-006-0038-6