%0 Conference Paper %1 Fukumi1991 %A Fukumi, Minoru %A Omatu, Sigeru %A Takeda, Fumiaki %A Kosaka, Toshihisa %B Proceedings of the IEEE International joint Conference on Neural Networks 1991, IJCNN'91 %D 1991 %I IEEE Computer Society %K coin fixed invariance multilayered nets, network network, neural pattern recognition recognition, rotation-invariant system, trainable %P 1027-1032 %R 10.1109/IJCNN.1991.170532 %T Rotation-invariant neural pattern recognition system with application to coin recognition %U http://ieeexplore.ieee.org/iel2/602/4411/00170532.pdf?tp=&arnumber=170532&isnumber=4411 %V 2 %X The authors propose a pattern recognition system which is insensitive to the rotation of the input pattern by various degrees. The system consists of a fixed invariance network with many slabs and a trainable multilayered network. To illustrate the effectiveness of the system, the authors apply it to rotation-invariant coin recognition of 500 yen and 500 won coins. The results of computer simulation show that a neural network approach will be useful in rotation-invariant pattern recognition

@inproceedings{Fukumi1991, abstract = {The authors propose a pattern recognition system which is insensitive to the rotation of the input pattern by various degrees. The system consists of a fixed invariance network with many slabs and a trainable multilayered network. To illustrate the effectiveness of the system, the authors apply it to rotation-invariant coin recognition of 500 yen and 500 won coins. The results of computer simulation show that a neural network approach will be useful in rotation-invariant pattern recognition}, added-at = {2011-03-27T19:35:34.000+0200}, affiliation = {University of Tokushima, Faculty of Engineering, Department of Information Science and Intelligent Systems}, author = {Fukumi, Minoru and Omatu, Sigeru and Takeda, Fumiaki and Kosaka, Toshihisa}, biburl = {https://www.bibsonomy.org/bibtex/23e8feab9cc5e8c7821ac40be769b37a5/cocus}, booktitle = {Proceedings of the IEEE International joint Conference on Neural Networks 1991, IJCNN'91}, booktitleaddon = {July 8--12, 1991}, doi = {10.1109/IJCNN.1991.170532}, file = {:./fukumi1991_00170532.pdf:PDF}, interhash = {e8183a7b5208a9db8deb39c8fb953446}, intrahash = {3e8feab9cc5e8c7821ac40be769b37a5}, keywords = {coin fixed invariance multilayered nets, network network, neural pattern recognition recognition, rotation-invariant system, trainable}, location = {#ieeeaddr#}, owner = {CK}, pages = {1027-1032}, publisher = {{IEEE} Computer Society}, timestamp = {2011-03-27T19:35:39.000+0200}, title = {Rotation-invariant neural pattern recognition system with application to coin recognition}, titleaddon = {\noop{}}, url = {http://ieeexplore.ieee.org/iel2/602/4411/00170532.pdf?tp=&arnumber=170532&isnumber=4411}, venue = {Seattle, WA, USA}, volume = 2, volumes = {4}, xcrossref = {CK:conf/ijcnn/1991}, year = 1991 }