Making Hand Geometry Verification System More Accurate Using Time Series Representation with R-K Band Learning
| dc.creator | Niennattrakul, Vit | |
| dc.creator | Ratanamahatana, Chotirat Ann | |
| dc.date | 2009-05-09 | |
| dc.date.accessioned | 2026-07-07T13:13:30Z | |
| dc.date.available | 2026-07-07T13:13:30Z | |
| dc.description | At present, applications of biometrics are rapidly increasing due to inconveniences in using traditional passwords and physical keys. Hand geometry, one of the most well-known biometrics, is implemented in many verification systems with various feature extraction methods. In recent work, a hand geometry verification system using time series conversion techniques and Dynamic Time Warping (DTW) distance measure with Sakoe-Chiba band has been proposed. This system demonstrates many advantages, especially ease of implementation and small storage space requirement using time series representation. In this paper, we propose a novel hand geometry verification system that exploits DTW distance measure and R-K band learning to further improve the system performance. Finally, our evaluation reveals that our proposed system outperforms the current system by a wide margin, in terms of False Acceptance Rate (FAR), False Rejection Rate (FRR), and Total Success Rate (TSR) at Equal Error Rate (EER). | |
| dc.description | In Proceedings of 11th National Computer Science and Engineering Conference (NCSEC 2007), Bangkok, Thailand, 19/11/2007. 8 pages, 10 figures | |
| dc.identifier | https://arxiv.org/abs/0905.1385 | |
| dc.identifier | http://arxiv.org/abs/0905.1385 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/229910 | |
| dc.subject | Cryptography and Security | |
| dc.title | Making Hand Geometry Verification System More Accurate Using Time Series Representation with R-K Band Learning | |
| dc.type | text |