Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.
You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.
After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.
This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Workshop on Graphics Recognition (GREC 2011), held in Seoul, Korea, September 15-16, 2011. The 25 revised full papers presented were carefully selected from numerous submissions. Graphics recognition is a subfield of document image analysis that deals with graphical entities in engineering drawings, sketches, maps, architectural plans, musical scores, mathematical notation, tables, and diagrams. Accordingly the conference papers are organized in 5 technical sessions, covering the topics such as map and ancient documents, symbol and logo recognition, sketch and drawings, performance evaluation and challenge processing.
Content Level »Professional/practitioner
Keywords »ground truthing - handwritten character recognition - shape segmentation - sketching interfaces - text documents
A Region-Based Method for Sketch Map Segmentation.- Ancient Documents Denoising and Decomposition Using Aujol and Chambolle Algorithm.- Efficient and Robust Graphics Recognition from Historical Maps.- On the Use of Geometric Matching for Both: Isolated Symbol Recognition and Symbol Spotting.- Notation-Invariant Patch-Based Wall Detector in Architectural Floor Plans.- A Recognition System for Online Handwritten Tibetan Characters.- Unified Representation of Online and Offline Hand Drawn Graphics Using Bezier Curve Approximation.- A Scoring Model for Clothes Matching Using Color Harmony and Texture Analysis.