| dc.creator | Guidet, Sebastián | |
| dc.creator | Barrientos, Ricardo J. | |
| dc.creator | Frati, Fernando Emmanuel | |
| dc.creator | Hernández-García, Ruber | |
| dc.date | 2020-09 | |
| dc.date | 2020 | |
| dc.date | 2020-09-16T16:19:01Z | |
| dc.date.accessioned | 2023-07-14T22:06:39Z | |
| dc.date.available | 2023-07-14T22:06:39Z | |
| dc.identifier | http://sedici.unlp.edu.ar/handle/10915/104768 | |
| dc.identifier | isbn:978-950-34-1927-4 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7445648 | |
| dc.description | In massive biometric identification, response times highlydepend on the searching algorithms. Traditional systems operate with databases of up to 10,000 records. In large databases, with an increasing number of simultaneous queries, the system response time is a critical factor. This work proposes a GPU-based implementation for the matching process of finger-vein massive identification. Experimental resultss how that our approach solves up to 256 simultaneous queries on large databases achieving up to 136x. | |
| dc.description | Instituto de Investigación en Informática | |
| dc.description | Instituto de Investigación en Informática | |
| dc.format | application/pdf | |
| dc.language | en | |
| dc.rights | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| dc.rights | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | |
| dc.subject | Ciencias Informáticas | |
| dc.subject | High Performance Computing | |
| dc.subject | Identification of individuals | |
| dc.subject | Local linear binary pattern | |
| dc.subject | Finger veins | |
| dc.subject | GPU | |
| dc.title | Finger-vein individuals identification on massive databases | |
| dc.type | Objeto de conferencia | |
| dc.type | Objeto de conferencia | |
