Word Spotting in Archive Documents Using Shape Contexts

Authors:
Josep Lladós;Partha Pratim-Roy;José A. Rodríguez;Gemma Sánchez
Affiliations:
Computer Vision Center - Computer Science Department, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain;Computer Vision Center - Computer Science Department, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain;Computer Vision Center - Computer Science Department, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain;Computer Vision Center - Computer Science Department, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain
Venue:
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Year:
2007

Citing 5
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A line-based representation for matching words in historical manuscripts

Pattern Recognition Letters

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Abstract

The analysis of historical document images is not only interesting for the preservation of historical heritage but also for the extraction of semantic knowledge. In this paper we present a word spotting approach to find keyword images in digital archives. Detected words allow to construct metadata on document contents for indexing and retrieval purposes. Instead of using OCR based approches that would require accurate segmentation and high image quality, we propose a shape recognition method based on the well-known shape context descriptor. Our method is proven to be robust under hightly distorted and noisy document images, a usual drawback in old document analysis. It has been used in a real application scenario, the Collection of Border Records of the Girona Archive. In particular, spotted keywords are used to extract knowledge on personal data of people referred in the documents.