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Curvelets Based Queries for CBIR Application in Handwriting Collections
2007
Proceedings of the International Conference on Document Analysis and Recognition
This paper presents a new use of the Curvelet transform as a multiscale method for indexing linear singularities and curved handwritten shapes in documents images. As it belongs to the Wavelet family, this representation can be useful at several scales of details. The proposed scheme for handwritten shape characterization targets to detect oriented and curved fragments at different scales so as to compose an unique signature for each handwritten analyzed samples. In this way, Curvelets
doi:10.1109/icdar.2007.4376995
dblp:conf/icdar/JoutelEBE07
fatcat:bzvuox3qefeern5624vgnka2gi