Deformable template matching within a Bayesian framework for hand-written graphic symbol recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1941, Issue , 2000, Pages 193-208

  Valveny, Ernest ^a   Martí, Enric ^a  

^a UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BINS; DEFORMATION; MATHEMATICAL TRANSFORMATIONS; PALMPRINT RECOGNITION; PATTERN RECOGNITION; TEMPLATE MATCHING;

ARCHITECTURAL FLOOR PLANS; BAYESIAN FRAMEWORKS; DEFORMABLE TEMPLATE MATCHING; ENERGY MINIMIZATION PROBLEM; GEOMETRIC TRANSFORMATIONS; GLOBAL TRANSFORMATION; GRAPHIC SYMBOL RECOGNITION; RECOGNITION PROCESS;

IMAGE MATCHING;

EID: 84951766409     PISSN: 03029743     EISSN: 16113349     Source Type: Journal    
DOI: 10.1007/3-540-40953-x_16     Document Type: Article

References (14)

1. K. W. Cheung and D. Y. Yeung. A bayesian framework for deformable pattern recognition with application to handwritten character recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(12):1382-1388, Desember 1998.
2. A. K. Chhabra. Graphic symbol recognition: An overview. In K. Tombre and A. K. Chhabra, editors, Graphics Recognition: Algorithms and Systems, pages 68-79. Springer Verlag, Berlin, 1998.
3. A. H. Habacha. Structural recognition of disturbed symbols using discrete relaxation. In Proceedings of 1st. International Conference on Document Analysis and Recognition, pages 170-178, Sep-Oct 1991. Saint Malo, France.
4. A. K. Jain, Y. Zhong, and M. P. Dubuisson-Jolly. Deformable template models: A review. Signal Processing, 71:109-129, 1998.
5. A. K. Jain and D. Zongker. Representation and recognition of handwritten digits using deformable templates. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(12):1386-1391, Desember 1997.
6. P. Kuner and B. Ueberreiter. Knowledge-based pattern recognition in disturbed line images using graph theory, optimization and predicate calculus. In Proceedings of 8th. International Conference on Pattern Recognition, pages 240-243, October 1986. Paris, France.
7. P. J. M. Van Laarhoven and E. H. Aarts. Simulated Annealing: Theory and Applications. Kluwer Academic Publishers, 1989.
8. S. Lee. Recognizing hand-written electrical circuit symbols with attributed graph matching. In H. S. Baird, H. Bunke, and K. Yamamoto, editors, Structured Document Analysis, pages 340-358. Springer Verlag, Berlin, 1992.
9. J. Lladós, J. López-Krahe, and E. Martí. A system to understand hand-drawn floor plans using subgraph isomorphism and Hough transform. Machine Vision and Applications, 10(3):150-158, 1997.
10. G. J. MacLachlan and T. Krishnan. The EM algorithm and extensions. John Wiley and Sons, Inc., 1997.
11. B. T. Messmer and H. Bunke. Automatic learning and recognition of graphical symbols in engineering drawings. In R. Kasturi and K. Tombre, editors, Graphics Recognition: Methods and Applications, Selected Papers from First International Workshop on Graphics Recognition, 1995, pages 123-134. Springer, Berlin, 1996. Volume 1072 of Lecture Notes in Computer Science.
12. M. Revow, C. K. I. Williams, and G. Hinton. Using generative models for handwritten digit recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(6):592-606, June 1996.
13. K. Tombre. Graphics recognition - general context and challenges. Pattern Recognition Letters, 16(9):883-891, 1995.
14. E. Valveny and E. Martí. Application of deformable template matching to symbol recognition in hand-written architectural drawings. In Fifth IAPR International Conference on Document Analysis and Recognition ICDAR’99, pages 483-486, Bangalore, India, September 1999.