Word Retrieval in Historical Document using Character-Primitives - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2011

Word Retrieval in Historical Document using Character-Primitives

Résumé

Word searching and indexing in historical document collections is a challenging problem because, characters in these documents are often touching or broken due to degradation/ ageing effects. For efficient searching in such historical documents, this paper presents a novel approach towards word spotting using string matching of character primitives. We describe the text string as a sequence of primitives which consists of a single character or a part of a character. Primitive segmentation is performed analyzing text background information that is obtained by water reservoir technique. Next, the primitives are clustered using template matching and a codebook of representative primitives is built. Using this primitive codebook, the text information in the document images are encoded and stored. For a query word, we segment it into primitives and encode the word by a string of representative primitives from codebook. Finally, an approximate string matching is applied to find similar words. The matching similarity is used to rank the retrieved words. The proposed method is tested on historical books of French alphabets and we have obtained encouraging results from the experiment.
Fichier non déposé

Dates et versions

hal-01026452 , version 1 (21-07-2014)

Identifiants

  • HAL Id : hal-01026452 , version 1

Citer

Partha Pratim Roy, Jean-Yves Ramel, Nicolas Ragot. Word Retrieval in Historical Document using Character-Primitives. International Conference on Document Analysis and Recognition, Sep 2011, Pekin, China. pp.678-682. ⟨hal-01026452⟩
26 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More