Shape recognition by integrating structural descriptions and geometrical/statistical transforms

Computer Vision and Image Understanding

Volumn 64, Issue 2, 1996, Pages 248-262

  Nishida, Hirobumi ^a  

^a RICOH COMPANY LTD   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL GEOMETRY; ESTIMATION; IMAGE ANALYSIS; INTEGRATION; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; OBJECT RECOGNITION; STATISTICAL METHODS;

GEOMETRICAL TRANSFORMS; GLOBAL STRUCTURE; HANDWRITTEN CHARACTER RECOGNITION; ONLINE HANDWRITING RECOGNITION; SHAPE DEFORMATION; SHAPE MATCHING ALGORITHM; SHAPE RECOGNITION; STATISTICAL TRANSFORMS; STRUCTURAL DESCRIPTION;

CHARACTER RECOGNITION;

EID: 0030244861     PISSN: 10773142     EISSN: None     Source Type: Journal    
DOI: 10.1006/cviu.1996.0057     Document Type: Article

References (28)

1. H. Bunke, Hybrid pattern recognition methods, in Syntactic and Structural Pattern Recognition - Theory and Applications (H. Bunke and A. Sanfeliu, Eds.), pp. 307-347, World Scientific, Singapore, 1990.
2. R. D. Duda and P. E. Hart, Pattern Classification and Scene Analysis, Wiley, New York, 1973.
3. R. M. Haralick and L. G. Shapiro, The consistent labeling problem: Part I, IEEE Trans. Pattern Anal. Mach. Intell. PAMI-1, 1979, 173-184.
4. B. K. P. Horn, H. M. Hildin, and S. Negahdariour, Closed-form solution of absolute orientation using orthonormal matrices, J. Opt. Soc. Am. A 5 (7), 1988, 1127-1135.
5. K. Ishii, Generation of distorted characters and its application, Trans. Inst. Electron. Commun. Eng. J66-D(11), 1983, 1270-1277. (in Japanese).
6. S.-W. Lee and J.-S. Park, Nonlinear shape normalization methods for the recognition of large-set handwritten characters, Pattern Recognit. 27(7), 1994, 895-902.
7. R. Legault, C. Y. Suen, and C. Nadal, Difficult cases in handwritten numeral recognition, in Structured Document Image Analysis (H. S. Baird, H. Bunke, and K. Yamamoto, Eds.), pp. 235-249, Springer-Verlag, New York, 1992.
8. S. Mori, H. Nishida, and H. Yamada, Optical Character Recognition, Wiley, New York (to be published).
9. S. Mori, C. Y. Suen, and K. Yamamoto, Historical review of OCR research and development, Proc. IEEE 80(7), 1992, 1029-1058.
10. S. Mori, K. Yamamoto, and M. Yasuda, Research on machine recognition of handprinted characters, IEEE Trans. Pattern Anal. Mach. Intell. PAMI-6(4), 1984, 386-405.
11. H. Nishida, Structural feature extraction on multiple bases with application to handwritten character recognition systems, in Proceedings of the Second International Conference on Document Analysis and Recognition, Tsukuba, Japan, October 1993, pp. 27-30.
12. H. Nishida, Structural feature extraction using multiple bases, Comput. Vision Image Understand. 62(1), 1995, 78-89.
13. H. Nishida, Model-based shape matching with structural feature grouping, IEEE Trans. Pattern Anal. Mach. Intell. 17(3), 1995, 315-320.
14. H. Nishida and S. Mori, Algebraic description of curve structure, IEEE Trans. Pattern Anal. Mach. Intell. 14(5), 1992, 516-533.
15. H. Nishida and S. Mori, Structural analysis and description of curves by quasi-topological features and singular points, in Structured Document Image Analysis (H. S. Baird, H. Bunke, and K. Yamamoto, Eds.), pp. 139-187, Springer-Verlag, New York, 1992.
16. H. Nishida and S. Mori, An algebraic approach to automatic construction of structural models, IEEE Trans. Pattern Anal. Mach. Intell. 15(12), 1993, 1298-1311.
17. N. Otsu, Mathematical studies on feature extraction in pattern recognition, Res. Electrotech. Lab., 818, 1981.
18. T. Pavlidis, Structural Pattern Recognition, Springer-Verlag, New York, 1977.
19. U.E. Ramer, An iterative procedure for the polygonal approximation of plane curve, Comput. Graphics Image Process. 1, 1972, 244-256.
20. J.-C. Simon and O. Baret, Regularities and singularities in line pictures, Int J. Pattern Recognit. Artificial Intell. 5(1), 1991, 57-77.
21. C. Y. Suen, M. Berthod, and S. Mori, Automatic recognition of handprinted characters, Proc. IEEE 68, 1980, 469-487.
22. T. Suzuki and S. Mori, Structural description of line images by cross section sequence graph and its application to skeletonization, Int. J. Pattern Recognit. Artificial Intell. 7(5), 1993, 1055-1076.
23. C. C. Tappert, C. Y. Suen, and T. Wakahara, The state of the art in on-line handwriting recognition, IEEE Trans. Pattern Anal. Mach, Intell. 12(8), 1990, 787-808.
24. J. Tsukumo and H. Tanaka, Classification of handprinted Chinese characters using nonlinear normalization methods, in Proceedings of the Ninth International Conference on Pattern Recognition, Rome, Italy, November 1988, pp. 168-171.
25. T. Wakahara, On-line cursive script recognition using local affine transformation, in Proceedings of the Ninth International Conference on Pattern Recognition, Rome, Italy, November 1988, pp. 1133-1137.
26. T. Wakahara, Shape matching using LAT and its application to handwritten numeral recognition, IEEE Trans. Pattern Anal. Mach. Intell. 16(16), 1994, 618-629.
27. T. Wakahara, H. Murase, and K. Odaka, On-line handwriting recogni-tion, Proc. IEEE 80(7), 1992, 1181-1194.
28. M. Yasuda, Effect of the perturbed correlation method for optical character recognition, in Proceedings of the Second International Conference on Document Analysis and Recognition, Tsukuba, Japan, October 1993, pp. 830-833.