%0 Journal Article %1 Fukumi1992 %A Fukumi, Minoru %A Omatu, Sigeru %A Takeda, Fumiaki %A Kosaka, Toshihisa %C Los Alamitos, CA, USA %D 1992 %I IEEE Computer Society %J IEEE Transactions on Neural Networks %K 500 coin coin, computerised fixed invariance multilayered nets500 network network, neural pattern recognition recognition, rotation-invariant system, trainable won yen %N 2 %P 272-279 %R 10.1109/72.125868 %T Rotation-invariant neural pattern recognition system with application to coin recognition %U http://ieeexplore.ieee.org/iel4/72/3532/00125868.pdf?tp=&arnumber=125868&isnumber=3532 %V 3 %X In pattern recognition, it is often necessary to deal with problems to classify a transformed pattern. A neural pattern recognition system which is insensitive to rotation of input pattern by various degrees is proposed. The system consists of a fixed invariance network with many slabs and a trainable multilayered network. The system was used in a rotation-invariant coin recognition problem to distinguish between a 500 yen coin and a 500 won coin. The results show that the approach works well for variable rotation pattern recognition

@article{Fukumi1992, abstract = {In pattern recognition, it is often necessary to deal with problems to classify a transformed pattern. A neural pattern recognition system which is insensitive to rotation of input pattern by various degrees is proposed. The system consists of a fixed invariance network with many slabs and a trainable multilayered network. The system was used in a rotation-invariant coin recognition problem to distinguish between a 500 yen coin and a 500 won coin. The results show that the approach works well for variable rotation pattern recognition}, added-at = {2011-03-27T19:47:06.000+0200}, address = {Los Alamitos, CA, USA}, author = {Fukumi, Minoru and Omatu, Sigeru and Takeda, Fumiaki and Kosaka, Toshihisa}, biburl = {https://www.bibsonomy.org/bibtex/272cc8128cf4518623f0691bf1c30e23a/cocus}, doi = {10.1109/72.125868}, file = {:./fukumi1992mar00125868.pdf:PDF}, interhash = {b8de816031eab7b2d4549c294609c169}, intrahash = {72cc8128cf4518623f0691bf1c30e23a}, issn = {1045-9227}, journal = {{IEEE} Transactions on Neural Networks}, keywords = {500 coin coin, computerised fixed invariance multilayered nets500 network network, neural pattern recognition recognition, rotation-invariant system, trainable won yen}, month = mar, number = 2, owner = {CK}, pages = {272-279}, publisher = {{IEEE} Computer Society}, timestamp = {2011-03-27T19:47:08.000+0200}, title = {Rotation-invariant neural pattern recognition system with application to coin recognition}, url = {http://ieeexplore.ieee.org/iel4/72/3532/00125868.pdf?tp=&arnumber=125868&isnumber=3532}, urldate = {25-1-2008}, volume = 3, year = 1992 }