@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 = {2011-03-27T19:35:34.000+0200},
  author = {Fukumi, Minoru and Omatu, Sigeru and Takeda, Fumiaki and Kosaka, Toshihisa},
  biburl = {https://www.bibsonomy.org/bibtex/29ed03d8e94b793cf261b02ed56c6cd40/cocus},
  doi = {10.1109/72.125868},
  file = {:./fukumi1992mar00125868.pdf:PDF},
  interhash = {b8de816031eab7b2d4549c294609c169},
  intrahash = {9ed03d8e94b793cf261b02ed56c6cd40},
  issn = {1045-9227},
  journaltitle = {#ieeetnn#},
  keywords = {500 coin coin, computerised fixed invariance multilayered nets500 network network, neural pattern recognition recognition, rotation-invariant system, trainable won yen},
  location = {#ieeeaddr#},
  month = mar,
  number = 2,
  owner = {CK},
  pages = {272-279},
  publisher = {{IEEE} Computer Society},
  timestamp = {2011-03-27T19:35:39.000+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
}