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Author |
Dimosthenis Karatzas |
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Title |
Detecting Gradients in Text Images Using the Hough Transform |
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2008 |
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Proceedings of the 8th International Workshop on Document Analysis Systems, |
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245–252 |
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Nara (Japan) |
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DAG @ dag @ Kar2008 |
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1062 |
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Author |
Ernest Valveny; Miquel Ferrer |
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Title |
Application of Graph Embedding to Solve Graph Matchin Problems |
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Conference Article |
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2008 |
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Colloque International Francophone sur l’Ecrit et le Document |
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13–18 |
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Rouen (France) |
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CIFED’08 |
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DAG @ dag @ VaF2008 |
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1063 |
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Author |
Miquel Ferrer; Ernest Valveny; F. Serratosa; K. Riesen; Horst Bunke |
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Title |
An Approximate Algorith for Median Graph Computation using Graph Embedding |
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Conference Article |
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2008 |
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19th International Conference on Pattern Recognition. |
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Tampa, USA |
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ICPR |
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DAG |
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DAG @ dag @ FVS2008a |
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1064 |
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Author |
Dimosthenis Karatzas; Marçal Rusiñol; Coen Antens; Miquel Ferrer |
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Title |
Segmentation Robust to the Vignette Effect for Machine Vision Systems |
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Conference Article |
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2008 |
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19th International Conference on Pattern Recognition |
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The vignette effect (radial fall-off) is commonly encountered in images obtained through certain image acquisition setups and can seriously hinder automatic analysis processes. In this paper we present a fast and efficient method for dealing with vignetting in the context of object segmentation in an existing industrial inspection setup. The vignette effect is modelled here as a circular, non-linear gradient. The method estimates the gradient parameters and employs them to perform segmentation. Segmentation results on a variety of images indicate that the presented method is able to successfully tackle the vignette effect. |
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Tampa, USA |
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DAG |
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DAG @ dag @ KRA2008 |
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1065 |
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Author |
Jose Antonio Rodriguez; Florent Perronnin |
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Title |
Local Gradient Histogram Features for Word Spotting in Unconstrained Handwritten Documents |
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Conference Article |
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2008 |
Publication |
International Conference on Frontiers in Handwriting Recognition |
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7–12 |
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Montreal (Canada) |
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ICFHR |
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no |
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Admin @ si @ RoP2008b |
Serial |
1066 |
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Author |
Jose Antonio Rodriguez; Florent Perronnin |
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Title |
Score Normalization for Hmm-based Word Spotting Using Universal Background Model |
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Conference Article |
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Year |
2008 |
Publication |
International Conference on Frontiers in Handwriting Recognition |
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82–87 |
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Montreal (Canada) |
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ICFHR |
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no |
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Admin @ si @ RoP2008c |
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1067 |
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Author |
Ariel Amato; Mikhail Mozerov; Ivan Huerta; Jordi Gonzalez; Juan J. Villanueva |
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Title |
ackground Subtraction Technique Based on Chromaticity and Intensity Patterns |
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Conference Article |
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Year |
2008 |
Publication |
19th International Conference on Pattern Recognition, |
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1–4 |
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Tampa (Florida) |
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ICPR |
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ISE |
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ISE @ ise @ AMH2008 |
Serial |
1071 |
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Author |
Murad Al Haj; Francisco Javier Orozco; Jordi Gonzalez; Juan J. Villanueva |
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Title |
Automatic Face and Facial Features Initialization for Robust and Accurate Tracking |
Type |
Conference Article |
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Year |
2008 |
Publication |
19th International Conference on Pattern Recognition. |
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1– 4 |
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Tampa (Florida) |
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ICPR |
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ISE |
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ISE @ ise @ AOG2008 |
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1072 |
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Author |
Partha Pratim Roy; Umapada Pal; Josep Llados; F. Kimura |
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Title |
Convex Hull based Approach for Multi-oriented Character Recognition form Graphical Documents |
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Conference Article |
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2008 |
Publication |
19th International Conference on Pattern Recognition |
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Tampa (Florida) |
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DAG @ dag @ RPL2008d |
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1073 |
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Author |
Jose Manuel Alvarez; Antonio Lopez |
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Title |
Novel Index for Objective Evaluation of Road Detection Algorithms |
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2008 |
Publication |
Intelligent Transportation Systems. 11th International IEEE Conference on, |
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815–820 |
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road detection |
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Beijing (Xina) |
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ITSC |
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ADAS |
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ADAS @ adas @ AlL2008 |
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1074 |
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Author |
Jose Antonio Rodriguez; Florent Perronnin; Gemma Sanchez; Josep Llados |
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Title |
Unsupervised writer style adaptation for handwritten word spotting |
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Conference Article |
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2008 |
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Pattern Recognition. 19th International Conference on, IBM Best Student Paper Award. |
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Tampa, USA |
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DAG |
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DAG @ dag @ RPS2008 |
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1077 |
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Author |
Alicia Fornes; Josep Llados; Gemma Sanchez; Horst Bunke |
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Title |
Writer Identification in Old Handwritten Music Scores |
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Conference Article |
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2008 |
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Proceedings of the 8th International Workshop on Document Analysis Systems, |
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347–353 |
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Nara (Japan) |
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DAG @ dag @ FLS2008b |
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1078 |
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Author |
Ferran Diego; Daniel Ponsa; Joan Serrat; Antonio Lopez |
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Title |
Video Alignment for Difference-spotting |
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2008 |
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Proceedings of the ECCV workshop on Multi–camera and Multi–modal Sensor Fusion Algorithms and Applications (M2SFA2 2008), Marseille (France) |
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video alignment |
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ADAS @ adas @ DPS2008 |
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1079 |
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Author |
Enric Marti; Ferran Poveda; Antoni Gurgui; Jaume Rocarias; Debora Gil; Aura Hernandez-Sabate |
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Title |
Una experiencia de estructura, funcionamiento y evaluación de la asignatura de graficos por computador con metodologia de aprendizaje basado en proyectos |
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Miscellaneous |
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2013 |
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IV Congreso Internacional UNIVEST |
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IV Congreso Internacional UNIVEST |
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UNIVEST |
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IAM; ADAS |
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Admin @ si @ MPG2013b |
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2384 |
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Author |
Josep Llados; Marçal Rusiñol |
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Title |
Graphics Recognition Techniques |
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2014 |
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Handbook of Document Image Processing and Recognition |
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D |
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489-521 |
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Dimension recognition; Graphics recognition; Graphic-rich documents; Polygonal approximation; Raster-to-vector conversion; Texture-based primitive extraction; Text-graphics separation |
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Abstract |
This chapter describes the most relevant approaches for the analysis of graphical documents. The graphics recognition pipeline can be splitted into three tasks. The low level or lexical task extracts the basic units composing the document. The syntactic level is focused on the structure, i.e., how graphical entities are constructed, and involves the location and classification of the symbols present in the document. The third level is a functional or semantic level, i.e., it models what the graphical symbols do and what they mean in the context where they appear. This chapter covers the lexical level, while the next two chapters are devoted to the syntactic and semantic level, respectively. The main problems reviewed in this chapter are raster-to-vector conversion (vectorization algorithms) and the separation of text and graphics components. The research and industrial communities have provided standard methods achieving reasonable performance levels. Hence, graphics recognition techniques can be considered to be in a mature state from a scientific point of view. Additionally this chapter provides insights on some related problems, namely, the extraction and recognition of dimensions in engineering drawings, and the recognition of hatched and tiled patterns. Both problems are usually associated, even integrated, in the vectorization process. |
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Springer London |
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D. Doermann; K. Tombre |
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978-0-85729-858-4 |
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DAG; 600.077 |
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Admin @ si @ LlR2014 |
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2380 |
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