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Mathieu Nicolas Delalandre, Tony Pridmore, Ernest Valveny, Eric Trupin and Herve Locteau. 2007. Building Synthetic Graphical Documents for Performance Evaluation. Seventh IAPR International Workshop on Graphics Recognition.84–87.
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Anjan Dutta, Umapada Pal, Alicia Fornes and Josep Llados. 2010. An Efficient Staff Removal Technique from Printed Musical Documents. 20th International Conference on Pattern Recognition.1965–1968.
Abstract: Staff removal is an important preprocessing step of the Optical Music Recognition (OMR). The process aims to remove the stafflines from a musical document and retain only the musical symbols, later these symbols are used effectively to identify the music information. This paper proposes a simple but robust method to remove stafflines from printed musical scores. In the proposed methodology we have considered a staffline segment as a horizontal linkage of vertical black runs with uniform height. We have used the neighbouring properties of a staffline segment to validate it as a true segment. We have considered the dataset along with the deformations described in for evaluation purpose. From experimentation we have got encouraging results.
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Philippe Dosch and Ernest Valveny. 2006. Report on the Second Symbol Recognition Contest. Graphics Recognition: Ten Years Review and Future Perspectives, W. Liu, J. Llados (Eds.), LNCS 3926: 381–397.
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Mathieu Nicolas Delalandre, Jean-Marc Ogier and Josep Llados. 2008. A Fast Cbir System of Old Ornamental Letter. In W. Liu, J.L., J.M. Ogier, ed. Graphics Reognition: Recent Advances and New Opportunities.135–144. (LNCS.)
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Mathieu Nicolas Delalandre, Jean-Marc Ogier and Josep Llados. 2007. A Fast System for the Retrieval of Ornamental Letter Image. Seventh IAPR International Workshop on Graphics Recognition.51–54.
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Philippe Dosch and Josep Llados. 2004. Vectorial Signatures for Symbol Discrimination.
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Philippe Dosch and Josep Llados. 2003. Vectorial Signatures for Symbol Discrimination.
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Anton Cervantes, Gemma Sanchez, Josep Llados, Agnes Borras and Ana Rodriguez. 2006. Biometric Recognition Based on Line Shape Descriptors. Lecture Notes in Computer Science. Springer Link, 346–357,.
Abstract: Abstract. In this paper we propose biometric descriptors inspired by shape signatures traditionally used in graphics recognition approaches. In particular several methods based on line shape descriptors used to iden- tify newborns from the biometric information of the ears are developed. The process steps are the following: image acquisition, ear segmentation, ear normalization, feature extraction and identification. Several shape signatures are defined from contour images. These are formulated in terms of zoning and contour crossings descriptors. Experimental results are presented to demonstrate the effectiveness of the used techniques.
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Anton Cervantes, Gemma Sanchez, Josep Llados, Agnes Borras and A. Rodriguez. 2005. Biometric Recognition Based on Line Shape Descriptors. Sixth IAPR International Workshop on Graphics Recognition (GREC 2005).335–344.
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S. Chanda, Oriol Ramos Terrades and Umapada Pal. 2007. SVM Based Scheme for Thai and English Script Identification. 9th International Conference on Document Analysis and Recognition.551–555.
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