Graphical symbol recognition

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K.C., Santosh ; Wendling, Laurent (2015)
  • Publisher: Wiley
  • Related identifiers: doi: 10.1002/047134608X.W8260
  • Subject: [INFO.INFO-TI] Computer Science [cs]/Image Processing | recognition | [ INFO.INFO-TI ] Computer Science [cs]/Image Processing | graphical symbol | Graphics processing | statistical approaches | [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing | structural and syntactic approaches | [ INFO.INFO-TT ] Computer Science [cs]/Document and Text Processing | retrieval and spotting | [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] | [ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] | real-world problems

International audience; The chapter focuses on one of the key issues in document image processing i.e., graphical symbol recognition. Graphical symbol recognition is a sub-field of a larger research domain: pattern recognition. The chapter covers several approaches (i.e., statistical, structural and syntactic) and specially designed symbol recognition techniques inspired by real-world industrial problems. It, in general, contains research problems, state-of-the-art methods that convey basic steps as well as prominent concepts or techniques and research standpoints/directions that are associated with graphical symbol recognition.
  • References (285)
    285 references, page 1 of 29

    [1] L. A. Fletcher and R. Kasturi. A robust algorithm for text string separation from mixed text/graphics images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 10(6):910-918, 1988.

    [2] G. Nagy. Twenty Years of Document Image Analysis in PAMI. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(1):38-62, January 2000.

    [3] Rangachar Kasturi, Lawrence O'Gorman, and Venu Govindaraju. Document image analysis: A primer. Character Recognition, 27(1):3-22, 2002.

    [4] K. Tombre. Analysis of Engineering Drawings: State of the Art and Challenges. In Tombre and Chhabra (299), pages 257-264.

    [5] K. Tombre. Ten Years of Research in the Analysis of Graphics Documents: Achievements and Open Problems. In Proceedings of 10th Portuguese Conference on Pattern Recognition, Lisbon, Portugal, pages 11-17, March 1998.

    [6] J. Lladós, E. Valveny, G. Sánchez, and E. Martí. Symbol Recognition: Current Advances and Perspectives. In D. Blostein and Y.-B. Kwon, editors, Graphics Recognition - Algorithms and Applications, volume 2390 of Lecture Notes in Computer Science, pages 104-127. Springer-Verlag, 2002.

    [7] Karl Tombre. Graphics recognition: The last ten years and the next ten years. In Proceedings of 6th IAPR International Workshop on Graphics Recognition, Hong Kong, pages 422-426, 2005.

    [8] Karl Tombre. Graphics recognition - what else? In Jean-Marc Ogier, Wenyin Liu, and Josep Lladós, editors, Graphics Recognition. Achievements, Challenges, and Evolution, volume 6020 of Lecture Notes in Computer Science, pages 272-277. Springer, 2010.

    [9] D. Doermann and K. Tombre. Handbook of Document Image Processing and Recognition. Springer-Verlag New York Incorporated, 2014.

    [10] A. Okazaki, T. Kondo, K. Mori, S. Tsunekawa, and E. Kawamoto. An Automatic Circuit Diagram Reader with Loop-Structure-Based Symbol Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 10(3):331-341, 1988.

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