| dc.contributor.author | Nopsuwanchai, Roongroj | |
| dc.contributor.author | Biem, Alain | |
| dc.contributor.author | Clocksin, William | |
| dc.date.accessioned | 2013-03-21T15:59:43Z | |
| dc.date.available | 2013-03-21T15:59:43Z | |
| dc.date.issued | 2006 | |
| dc.identifier.citation | Nopsuwanchai , R , Biem , A & Clocksin , W 2006 , ' Maximization of mutual information for offline Thai handwriting recognition ' , IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 28 , no. 8 , pp. 1347-1351 . https://doi.org/10.1109/TPAMI.2006.167 | |
| dc.identifier.issn | 1939-3539 | |
| dc.identifier.other | PURE: 500229 | |
| dc.identifier.other | PURE UUID: 97bf39db-279b-4d81-b3f7-fb9b358dd1f3 | |
| dc.identifier.other | Scopus: 33748147868 | |
| dc.identifier.uri | http://hdl.handle.net/2299/10269 | |
| dc.description.abstract | This paper aims to improve the performance of an HMM-based offline Thai handwriting recognition system through discriminative training and the use of fine-tuned feature extraction methods. The discriminative training is implemented by maximizing the mutual information between the data and their classes. The feature extraction is based on our proposed block-based PCA and composite images, shown to be better at discriminating Thai confusable characters. We demonstrate significant improvements in recognition accuracies compared to the classifiers that are not discriminatively optimized | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | IEEE Transactions on Pattern Analysis and Machine Intelligence | |
| dc.title | Maximization of mutual information for offline Thai handwriting recognition | en |
| dc.contributor.institution | School of Computer Science | |
| dc.description.status | Peer reviewed | |
| rioxxterms.versionofrecord | https://doi.org/10.1109/TPAMI.2006.167 | |
| rioxxterms.type | Journal Article/Review | |
| herts.preservation.rarelyaccessed | true | |
