Publicado en 12th International Conference on Natural Computation and 13th International Conference on Fuzzy Systems and Knowledge Discovery Abstract The Computational Theory of Perceptions (CTP) provides capabilities for linguistic summarization of data and it aims the description of patterns emerging from these data by means of linguistic expressions. This technique is particularly well suited in applications where there is the need of understanding the information at different levels of expertise and/or when intense human-computer interaction is required. In this paper, we present a CTP-based system able to generate valuable linguistic reports from findings in breast image mammograms using the BI-RADS radiology standard. The implemented framework uses data obtained through the fusion of information provided by different medical experts on the same mammography. Then, our system automatically produces a collection of valid sentences describing: the breast lesion ...

Publicado en International Conference on Systems, Signals, and Image Processing Abstract: This paper describes an implemented solution to automatically detect and recognize in real-time both speed limit warning signs and speed limit signs in railway travel videos recorded from the driver's cab. The lack of available high-quality videos to train this kind of systems and the involved complexity of the rail scenes, with non-controlled illumination conditions, make it challenging the considered problem. Our framework achieved interesting recognition results of around 95% for both signs types and digits recognition.

Integrated Computer-Aided Engineering

Publicado en Statistical Methods and Applications In this paper, a methodology is proposed in order to produce a set of seeds later used as a starting point to K-Means-type unsupervised classification algorithms for text mining. Our proposal involves using the eigenvectors obtained from principal component analysis to extract initial seeds, upon appropriate treatment for search of lightly overlapping clusters which are also clearly identified by keywords. This work is motivated by the interest of the authors in the problem of identification of topics and themes previously unknown in short texts. Therefore, in order to validate the goodness of this method, it was applied on a sample of labeled e-mails (NG20) representing a gold standard within the field of text mining. Specifically, some corpora referenced in the literature have been used, configured in accordance to a mix of topics contained in the sample. The proposed method improves on the results of other state-of-the-art methods to whi...

Ministerio de Economía y Competitividad Este proyecto se ha centrado en el estudio de la aplicación de las más recientes técnicas de aprendizaje automático para la extracción de contenido semántico en documentos digitalizados que incluyen texto manuscrito y mecanografiado, fotografías e ilustraciones. Dicho objetivo está en línea con las crecientes necesidades actuales de traspaso de información desde el mundo físico al mundo digital. El principal avance derivado del proyecto ha sido el desarrollo de un sistema de reconocimiento de texto manuscrito offline que es estado del arte al compararlo con otros sistemas similares de la bibliografía. Este desarrollo se ha sustentado sobre numerosas publicaciones en revistas y congresos internacionales. En particular se ha realizado 6 publicaciones en revistas JCR, 2 en libros de la serie Lecure Notes y 4 en congresos internacionales. Además, se ha dirigido la digitalización del Archivo de Documentos Históricos de la empresa Osborne, creando ...

Publicado en Spanish Journal of Agriculture Research (SJAR) Accurate individual animal identification provides the producers with useful information to take management decisions about an individual animal or about the complete herd. This identification task is also important to ensure the integrity of the food chain. Consequently, many consumers are turning their attention to issues of quality in animal food production methods. This work describes an implemented solution for individual beef identification, taking in the time from cattle shipment arrival at the slaughterhouse until the animals are slaughtered and cut up. Our beef identification approach is image-based and the pursued goals are the correct automatic extraction and matching between some numeric information extracted from the beef ear-tag and the corresponding one from the Bovine Identification Document (BID). The achieved correct identification results by our method are near 90%, by considering the practica...

Publicado en International Journal on Document Analysis and Recognition (IJDAR) One fundamental step in off-line handwritten signature verification is the detection of the signature position within the document image. This paper introduces an original approach for signature position detection. The method is based on an accumulative evidence technique, searching the region that maximizes some measure of correspondence with a given reference signature. This measure is based on the similarity of the slope marked out by each of the strokes in the signature. Experiments have shown that the method can be used on real documents, such as bank checks, where images have a high noise level due to background interferences (i.e. machine or handwritten texts, stamps, and lines). The proposed method is robust to variability in the size of the signatures and has the advantage of using only one reference signature per person.