@InProceedings{Kim:1999:SePrCh,
author = "Kim, Hae Yong",
title = "Segmentation-free printed character recognition by relaxed nearest
neighbor learning of windowed operator",
booktitle = "Proceedings...",
year = "1999",
editor = "Stolfi, Jorge and Tozzi, Cl{\'e}sio Luis",
pages = "195--204",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 12.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
note = "The conference was held in Campinas, SP, Brazil, from October 17
to 20.",
keywords = "optical, recognition, windowed operation.",
abstract = "The segmentation is considered by many researchers as the key
technology for a reliable optical character recognition (OCR)
system. To accomplish a sound segmentation, many alternative
techniques have been recently proposed. This paper presents a new
technique to recognize characters without an explicit
segmentation. It is based on the automatic construction of windoed
operator by relaxed nearest neighbor learning. It has been
implemented, tested and yielded excellent recognition accuracy and
computational performance.",
conference-location = "Campinas, SP, Brazil",
conference-year = "17-20 Oct. 1999",
doi = "10.1109/SIBGRA.1999.805725",
url = "http://dx.doi.org/10.1109/SIBGRA.1999.805725",
organisation = "SBC - Brazilian Computer Society and UNICAMP - University of
Campinas",
ibi = "83LX3pFwXQZ4BFjAq/jhbVd",
url = "http://urlib.net/ibi/83LX3pFwXQZ4BFjAq/jhbVd",
targetfile = "001-70833333.pdf",
urlaccessdate = "2024, May 02"
}