%Aigaion2 BibTeX export from Idiap Publications %Thursday 21 November 2024 01:08:27 PM @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}, }