Rotation-invariant neural pattern recognition system estimating a rotation angle

IEEE Transactions on Neural Networks

Volumn 8, Issue 3, 1997, Pages 568-581

  Fukumi, Minoru ^b   Omatu, Sigeru ^a,c   Nishikawa, Yoshikazu ^d  

^a IEEE

^b UNIVERSITY OF TOKUSHIMA   (Japan)

^c Osaka Prefecture University   (Japan)

^d OSAKA INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Backpropagation; Coin recognition; Edge detection; Learning; Mental rotation; Neural networks; Numeral recognition; Orientation selectivity; Rotation angle estimation; Rotation invariance

Indexed keywords

ADAPTIVE SYSTEMS; BACKPROPAGATION; BINARY SEQUENCES; COMPUTER SIMULATION; EDGE DETECTION; NEURAL NETWORKS;

MENTAL ROTATION; ROTATION ANGLE ESTIMATION; ROTATION INVARIANT NEURAL PATTERN RECOGNITION SYSTEMS; THEORY OF INFORMATION TYPES;

PATTERN RECOGNITION SYSTEMS;

EID: 0031146204     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.572096     Document Type: Article

References (32)

1. M. Iriki et al., Physiology. Tokyo, Japan: Bunkodo, 1986 (in Japanese).
2. N. Tsukahara et al., Information Processing of Brain. Tokyo, Japan: Asakura-shoten (in Japanese).
3. K. Yazawa et al., Brain and AI: Thinking Machines. Tokyo: Gakken, 1992 (in Japanese).
4. D. E. Rumelhart et al., Parallel Distributed Processing, vols. 1 and 2. Cambridge, MA: MIT Press, 1986.
5. T. Kohonen, Self-Organization and Associative Memory, 3rd ed. New York: Springer-Verlag, 1989.
6. K. Fukushima, S. Miyake, and T. Ito, "Neocognitron: A neural-network model for a mechanism of visual pattern recognition," IEEE Trans. Syst., Man, Cybern., vol. SMC-13, pp. 826-834, 1983.
7. T. Nagano and M. Ishikawa, "A neural network for size-invariant feature extraction," in Proc. Int. Neural Network Conf., vol. 1, 1990, p. 103.
8. C. H. Ting, "Rotation invariant neocognitron," in Proc. Int. Joint Conf. Neural Networks, 1991, vol. 3, pp. 2216-2221.
9. B. Widrow, R. G. Winter, and R. A. Baxter, "Layered neural nets for pattern recognition," IEEE Trans. Acoust, Speech, Signal Processing, vol. ASSP-36, pp. 1109-1118, 1988.
10. M. B. Reid, L. Spirkovska, and E. Ochoa, "Rapid training of higher-order neural networks for invariant pattern recognition," in Proc. Int. Joint Conf. Neural Networks, vol. 1, 1989, pp. 689-692.
11. S. Kageyu, N. Ohnishi, and N. Sugie, "Augmented multilayer perceptron for rotation-and-scale invariant hand written numeral recognition," in Proc. Int. Joint Conf. Neural Networks, vol. 1, 1991, pp. 54-59.
12. S. Araya, K. Suzaki, and H. Asho, "A neural network for learning and recognizing rotated patterns," Trans. Inst. Elec. Eng., Japan, vol. 111, no. 5, 1991, pp. 202-208 (in Japanese).
13. V. Cruz, G. Cristobal, T. Michaux, and S. Barquin, "Invariant image recognition using a multinetwork neural model," in Proc. Int. Joint Conf. Neural Networks, 1989, vol. 2, pp. 17-21.
14. S. Lee and Y. Choi, "Robust recognition of handwritten numerals based on dual cooperative networks," in Proc. Int. Joint Conf. Neural Networks, 1992, vol. 3, pp. 760-767.
15. M. W. Koch, M. W. Roberts, and S. W. Aiken, "A vision architecture for scale, translation and rotation invariance," in Proc. Int. Joint Conf. Neural Networks, vol. 2, 1990, pp. 393-396.
16. G. A. Carpenter and S. Grossberg, "The ART of adaptive pattern recognition by a self-organizing neural network," IEEE Computer, vol. 21, pp. 77-88, 1988.
17. K. Imai, K. Gouhara, and Y. Uchikawa, "Pattern extraction and recognition for noisy images using the three-layered BP model," in Proc. Int. Joint Conf. Neural Networks, vol. 1, 1991, pp. 262-267.
18. M. Teranishi, M. Fukumi, and S. Omatu, "Pattern recognition system by neural networks," in Proc. 34th ISCIE Conf., 1990, p. 105 (in Japanese).
19. M. Fukumi, S. Omatu, and Y. Nishikawa, "A neural architecture for pattern recognition insensitive to translation, scale, and line thickness," Trans. SICE, Japan, vol. 30, no. 11, pp. 1360-1367, 1994 (in Japanese).
20. G. A. Carpenter, S. Grossberg, and G. W. Lesher, "A what- and where-neural network for invariant image preprocessing," in Proc. Int. Joint Conf. Neural Networks, 1992, vol. 3, pp. 303-308.
21. A. Pantle and R. Sekuler, "Size-detecting mechanisms in human vision," Sci., vol. 162, pp. 1146-1148, 1968.
22. R. N. Shepard and J. Metzler, "Mental rotation of three-dimensional objects," Sci., vol. 171, pp. 701-703, 1971.
23. M. Fukumi, S. Omatu, F. Takeda, and T. Kosaka, "Rotation-invariant neural pattern recognition system with application to coin recognition," IEEE Trans. Neural Networks, vol. 2, pp. 272-279, 1992.
24. _, "Rotation invariant neural network with an edge detection network," Trans. Inst. Eelec. Eng., Japan, vol. 112-C, no. 8, pp. 457-464, 1992 (in Japanese).
25. M. Fukumi, S. Omatu, F. Takeda, and T. Kosaka, "Rotation invariant neural pattern recognition systems with application to coin recognition," J. SICE, Japan, vol. 33, no. 2, 1994, pp. 151-165 (in Japanese).
26. M. Fukumi and S. Omatu, "Designing a neural network for coin recognition by a genetic algorithm," in Proc. Int. Joint Conf. Neural Networks, 1993, vol. 3, pp. 2109-2112.
27. N. Ikeda and T. Torioka, "A representation of rotating patterns in a neural network," Trans. IEICE, Japan, vol. J73-D-II, no. 1, 1990, pp. 100-108 (in Japanese).
28. S. D. You and G. E. Ford, "Network model for invariant object recognition and rotation angle estimation," in Proc. Int. Joint Conf. Neural Networks, 1993, vol. 3, pp. 2145-2148.
29. Y. Takano, Mystery of Rotated Forms. Tokyo: Tokyo Univ. Press, 1987 (in Japanese).
30. Y. Takano, "Perception of rotated forms: A theory of information types," Cognitive Psych., vol. 21, pp. 1-59, 1989.
31. M. Fukumi and S. Omatu, "A new backpropagation algorithm with coupled neuron," IEEE Trans. Neural Networks, vol. 2, pp. 535-538, 1991.
32. M. Fukumi, S. Omatu, and Y. Nishikawa, "Rotated pattern recognition and rotation angle estimation by neural networks," Trans. Inst. Elec. Eng., Japan, vol. 115-C, no. 10, pp. 1199-1207, 1995, in Japanese.