Graphics Recognition - from Re-engineering to Retrieval
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Local Norm Features based on ridgelets Transform
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A new use of the ridgelets transform for describing linear singularities in images
Pattern Recognition Letters
Classification and Automatic Annotation Extension of Images Using Bayesian Network
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Modeling, classifying and annotating weakly annotated images using Bayesian network
Journal of Visual Communication and Image Representation
Hand gesture recognition using gabor and radon transform with invariant moment features
CSECS '10 Proceedings of the 9th WSEAS international conference on Circuits, systems, electronics, control & signal processing
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Figure Based Biomedical Document Retrieval System using Structural Image Features
International Journal of Knowledge Discovery in Bioinformatics
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We introduce a new method to generate feature vectors to be used in symbol recognition. We propose a new exploitation of the Radon transform to generate relevant features. The Radon transform is essentially a transformation of an image into a transform plane (p, 驴) represented by an accumulator in the discrete case. From the accumulator array we extract a signature (R-signature) which provides a global information of a binary shape whatever its type and its form. The signature allows to keep fundamental geometrical transformation like scale, translation and rotation.