An Embedded Solution for Multispectral Palmprint Recognition
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | An Embedded Solution for Multispectral Palmprint Recognition |
| Type de publication | Conference Paper |
| Year of Publication | 2017 |
| Auteurs | Li C, Benezeth Y, Nakamura K, Gomez R, Yang F |
| Conference Name | 2017 25TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) |
| Publisher | European Assoc Signal Proc; IEEE Signal Proc Soc; Inst Commun & Comp Syst; Natl Tech Univ Athens; Plaisio; Mitsubishi Electr Res Lab; MathWorks; Blue Star Ferries; Moto Island Bicycle Rentals |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-0-9928-6267-1 |
| Résumé | Palmprint based identification has attracted much attention in the past decades. In some real-life applications, portable personal authentication systems with high accuracy and speed efficiency are required. This paper presents an embedded palmprint recognition solution based on the multispectral image modality. We first develop an effective recognition algorithm by using partial least squares regression, then a FPGA prototype is implemented and optimized through high-level synthesis technique. The evaluation experiments demonstrate that the proposed system can achieve a higher recognition rate at a lower running cost comparing to the reference implementations. |