Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/97993
Title: | Vein identification using line features | Authors: | Li, Fang Wang, Lingyu He, Ying |
Issue Date: | 2012 | Source: | Li, F., Wang, L., & He, Y. (2012). Vein Identification Using Line Features. 2012 Spring Congress on Engineering and Technology (S-CET). | Conference: | Spring Congress on Engineering and Technology (2012 : Xi'an, China) | Abstract: | This paper proposes a novel technique to analyze the infrared vein patterns in the back of the hand for biometric purposes. The line-patterns are retrieved in a rotation and translation invariant manner to tackle broken line problem. A set of pair-wise angle relationships among lines are extracted to present the local structure of line pattern. In order to keep positional information as well, dynamic region division technique is proposed. Pair-wise angle relationships are simple, invariant to translation and rotation, robust to end-point erosion and segment error, and sufficient for discrimination. The matching experiment has shown encouraging results which implicate that line segments can provide sufficient information for vein recognition. | URI: | https://hdl.handle.net/10356/97993 http://hdl.handle.net/10220/12245 |
DOI: | 10.1109/SCET.2012.6342014 | Schools: | School of Computer Engineering | Rights: | © 2012 IEEE. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | SCSE Conference Papers |
SCOPUSTM
Citations
50
1
Updated on Mar 18, 2024
Page view(s) 20
649
Updated on Mar 17, 2024
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.