A visual approach to sketched symbol recognition

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2009, Pages 1463-1468

  Ouyang, Tom Y ^a   Davis, Randall ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DRAWING (GRAPHICS);

COMPUTATIONALLY EFFICIENT; ELECTRICAL CIRCUIT; HAND-DRAWN SKETCHES; IN-BUILDING SYSTEMS; LOCAL DEFORMATIONS; RECOGNITION ACCURACY; STATE-OF-THE-ART PERFORMANCE; SYMBOL RECOGNITION;

PATTERN RECOGNITION;

EID: 78650961875     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. F. Alimoglu and E. Alpaydin. Combining multiple representations and classifiers for pen-based handwritten digit recognition. In Proceedings of ICDAR, 1997.
2. Christine Alvarado and Randall Davis. Sketchread: A multi-domain sketch recognition engine. In Proceedings of UIST, 2004.
3. C. Bahlmann, B. Haasdonk, and H. Burkhardt. Online handwriting recognition with support vector machines - a kernel approach. Proceedings of IWHFR, pages 49-54, 2002.
4. Y. Bengio, Y. LeCun, C. Nohl, and C. Burges. Lerec: A nn/hmm hybrid for on-line handwriting recognition. Neural Computation, 7(6):1289-1303, 1995.
5. S.D. Connell and A.K. Jain. Template-based online character recognition. Pattern Recognition, 34(1):1-14, 2001.
6. M.P. Dubuisson and AK Jain. A modified hausdorff distance for object matching. In Proceedings of ICIP, 1994.
7. T. Hammond and R. Davis. Ladder: a language to describe drawing, display, and editing in sketch recognition. In International Conference on Computer Graphics and Interactive Techniques, 2006.
8. H. Hse and AR Newton. Sketched symbol recognition using zernike moments. In Proceedings of ICPR, 2004.
9. L.B. Kara and T.F. Stahovich. An image-based trainable symbol recognizer for sketchbased interfaces. AAAI Fall Symposium: Making Pen- Based Interaction Intelligent and Natural, 2004.
10. D. Keysers, C. Gollan, and H. Ney. Local context in non-linear deformation models for handwritten character recognition. In International Conference on Pattern Recognition, 2004.
11. Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998.
12. H. Mitoma, S. Uchida, and H. Sakoe. Online character recognition using eigen-deformations. Proceedings of IWFHR, pages 3-8, 2004.
13. Michael Oltmans. Envisioning Sketch Recognition: A Local Feature Based Approach to Recognizing Informal Sketches. PhD thesis, Massachusetts Institute of Technology, Cambridge, MA, May 2007.
14. T.Y. Ouyang and R. Davis. Recognition of hand drawn chemical diagrams. In Proceedings of AAAI, 2007.
15. M. Shilman, H. Pasula, S. Russell, and R. Newton. Statistical visual language models for ink parsing. AAAI Spring Symposium on Sketch Understanding, 2002.
16. M. Shilman, P. Viola, and K. Chellapilla. Recognition and grouping of handwritten text in diagrams and equations. In Proceedings of IWFHR, 2004.