| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | sibgrapi.sid.inpe.br |
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
| Identifier | 8JMKD3MGPBW34M/3886QRE |
| Repository | sid.inpe.br/sibgrapi/2010/09.09.11.53 |
| Last Update | 2010:09.09.11.53.58 (UTC) administrator |
| Metadata Repository | sid.inpe.br/sibgrapi/2010/09.09.11.53.59 |
| Metadata Last Update | 2022:06.14.00.07.00 (UTC) administrator |
| DOI | 10.1109/SIBGRAPI.2010.14 |
| Citation Key | ClimentBlanHexs:2010:ApStMa |
| Title | Approximate string matching for iris recognition by means of boosted Gabor wavelets  |
| Format | Printed, On-line. |
| Year | 2010 |
| Access Date | 2024, May 03 |
| Number of Files | 1 |
| Size | 436 KiB |
| 2. Context | |
| Author | 1 Climent, Joan 2 Blanco, Juan Diego 3 Hexsel, Roberto |
| Affiliation | 1 Universitat Politècnica de Catalunya 2 Universitat Politècnica de Catalunya 3 Universidade Federal do Paraná |
| Editor | Bellon, Olga Esperança, Claudio |
| e-Mail Address | juan.climent@upc.edu |
| Conference Name | Conference on Graphics, Patterns and Images, 23 (SIBGRAPI) |
| Conference Location | Gramado, RS, Brazil |
| Date | 30 Aug.-3 Sep. 2010 |
| Publisher | IEEE Computer Society |
| Publisher City | Los Alamitos |
| Book Title | Proceedings |
| Tertiary Type | Full Paper |
| History (UTC) | 2010-10-01 04:19:39 :: juan.climent@upc.edu -> administrator :: 2010 2022-06-14 00:07:00 :: administrator -> :: 2010 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Version Type | finaldraft |
| Keywords | iris recognition AdaBoost biometrics Levenshtein distance string matching |
| Abstract | This paper presents an efficient IrisCode classifier, built from phase features which uses AdaBoost for the selection of Gabor wavelets bandwidths. The final iris classifier consists of a weighted contribution of weak classifiers. As weak classifiers we use 3-split decision trees that identify a candidate based on the Levenshtein distance between phase vectors of the respective iris images. Our experiments show that the Levenshtein distance has better discrimination in comparing IrisCodes than the Hamming distance. Our process also differs from existing methods because the wavelengths of the Gabor filters used, and their final weights in the decision function, are chosen from the robust final classifier, instead of being fixed and/or limited by the programmer, thus yielding higher iris recognition rates. A pyramidal strategy for cascading filters with increasing complexity makes the system suitable for realtime operation. |
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2010 > Approximate string matching... |
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Approximate string matching... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/3886QRE |
| zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3886QRE |
| Language | en |
| Target File | Climent.pdf |
| User Group | juan.climent@upc.edu |
| Visibility | shown |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPEW34M/46SJT6B 8JMKD3MGPEW34M/4742MCS |
| Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.20.21 3 |
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
| 6. Notes | |
| Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume |