%Aigaion2 BibTeX export from Idiap Publications
%Friday 05 December 2025 10:31:11 AM
@ARTICLE{camvin01art,
author = {Camastra, Francesco and Vinciarelli, Alessandro},
projects = {Idiap},
title = {Cursive Character Recognition by {L}earning {V}ector {Q}uantization},
journal = {Pattern Recognition Letters},
volume = {22},
number = {6},
year = {2001},
note = {IDIAP-RR 00-47},
crossref = {camvin00},
abstract = {This paper presents a cursive character recognizer embedded in an off-line cursive script recognition system. The recognizer is composed of two modules: the first one is a feature extractor, the second one an LVQ. The selected feature set was compared to Zernike polynomials using the same classifier. Experiments are reported on a database of about 49000 isolated characters.},
pdf = {https://publications.idiap.ch/attachments/reports/2000/rr00-47.pdf},
postscript = {ftp://ftp.idiap.ch/pub/reports/2000/rr00-47.ps.gz},
ipdmembership={vision},
}
crossreferenced publications:
@TECHREPORT{camvin00,
author = {Camastra, Francesco and Vinciarelli, Alessandro},
projects = {Idiap},
title = {Cursive Character Recognition by Learning Vector Quantization},
type = {Idiap-RR},
number = {Idiap-RR-47-2000},
year = {2000},
institution = {IDIAP},
note = {Accepted for publication by Pattern Recognition Letters},
abstract = {This paper presents a cursive character recognizer embedded in an off-line cursive script recognition system. The recognizer is composed of two modules: the first one is a feature extractor, the second one an LVQ. The selected feature set was compared to Zernike polynomials using the same classifier. Experiments are reported on a database of about 49000 isolated characters.},
pdf = {https://publications.idiap.ch/attachments/reports/2000/rr00-47.pdf},
postscript = {ftp://ftp.idiap.ch/pub/reports/2000/rr00-47.ps.gz},
ipdmembership={vision},
}