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Gemma Sanchez, Josep Llados and K. Tombre. 2001. An Algorithm to Recognize Graphical Textured Symbols using String Representations..
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Miquel Ferrer, Ernest Valveny, F. Serratosa, K. Riesen and Horst Bunke. 2008. An Approximate Algorith for Median Graph Computation using Graph Embedding. 19th International Conference on Pattern Recognition..
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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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Josep Llados, Gemma Sanchez and K. Tombre. 2002. An Error-Correction Graph Grammar to Recognize Texture Symbols..
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Gemma Sanchez, Josep Llados and K. Tombre. 2001. An Error-Correction Graph Grammar to Recognize Textured Symbols..
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Mohamed Ali Souibgui, Pau Torras, Jialuo Chen and Alicia Fornes. 2023. An Evaluation of Handwritten Text Recognition Methods for Historical Ciphered Manuscripts. 7th International Workshop on Historical Document Imaging and Processing.7–12.
Abstract: This paper investigates the effectiveness of different deep learning HTR families, including LSTM, Seq2Seq, and transformer-based approaches with self-supervised pretraining, in recognizing ciphered manuscripts from different historical periods and cultures. The goal is to identify the most suitable method or training techniques for recognizing ciphered manuscripts and to provide insights into the challenges and opportunities in this field of research. We evaluate the performance of these models on several datasets of ciphered manuscripts and discuss their results. This study contributes to the development of more accurate and efficient methods for recognizing historical manuscripts for the preservation and dissemination of our cultural heritage.
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Fernando Vilariño, Dimosthenis Karatzas, Marcos Catalan and Alberto Valcarcel. 2015. An horizon for the Public Library as a place for innovation and creativity. The Library Living Lab in Volpelleres. The White Book on Public Library Network from Diputació de Barcelona.
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Joan Mas, Gemma Sanchez, Josep Llados and B. Lamiroy. 2007. An Incremental On-line Parsing Algorithm for Recognizing Sketching Diagrams. 9th IEEE International Conference on Document Analysis and Recognition.452–456.
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Joan Mas, Gemma Sanchez and Josep Llados. 2005. An Incremental Parser to Recognize Diagram Symbols and Gestures represented by Adjacency Grammars.
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Joan Mas, Gemma Sanchez and Josep Llados. 2006. An Incremental Parser to Recognize Diagram Symbols and Gestures represented by Adjacency Grammars.
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