Handwriting similarities as features for the characterization of writer style invariants and image compression

Djamel Gaceb 1 Véronique Eglin 1 Stéphane Bres 1
1 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : In this paper, we propose a new approach of similarity retrieval in ancient handwritten documents. Similarities are retrieved on shape fragments which can be analysed according to different granularities (from the grapheme to the character size) depending on the handwriting quality, regularity and sharpness. The approach is based on a "segmentation free" methodology which considers the image with all frequencies and Gray levels. The method has been applied for two purposes: to establish the basis of a new handwritings compression approach based on handwritten images specificities and to show that only shape fragments can efficiently be used for writer characterization. We present here the global methodology for the similarities characterization which lies on an oriented handwriting shapes decomposition. First results for data compression and writer characterization are very encouraging in a field where there is no anterior work
Type de document :
Communication dans un congrès
Universitié de porto. International Conference on Image Analysis and Recognition, Aug 2006, Porto (Portugal), Portugal. Springer, pp.776-789, 2006
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https://hal.archives-ouvertes.fr/hal-01562419
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Soumis le : vendredi 14 juillet 2017 - 17:35:16
Dernière modification le : vendredi 10 novembre 2017 - 01:20:02

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  • HAL Id : hal-01562419, version 1

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Djamel Gaceb, Véronique Eglin, Stéphane Bres. Handwriting similarities as features for the characterization of writer style invariants and image compression. Universitié de porto. International Conference on Image Analysis and Recognition, Aug 2006, Porto (Portugal), Portugal. Springer, pp.776-789, 2006. 〈hal-01562419〉

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