International Journal of Computer Vision
A set of handwriting families: style recognition
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Ancient printed documents indexation: a new approach
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Contribution to the discrimination of the medieval manuscript texts: application in the palaeography
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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This paper presents a general architecture for ancient handwriting documents content description and retrieval. It is based on the Curvelets decomposition of images for indexing linear singularities of handwritten shapes. As it belongs to the Wavelets family, its representation is used at several scales of details. The proposed scheme for handwritten shape characterization targets to detect oriented and curved fragments at different scales: it is used in a first step to extract visual textual interest regions and secondly to compose a cross-scale signature for each handwritten analyzed samples. The images description is studied through different kinds of deformations that show the efficiency of the proposition for even degraded and variable handwriting text. The complete implementation scheme is validated with a content based images retrieval (CBIR) application on the medieval database from the IRHT and on the European 18thcentury correspondences corpus from the CERPHI.