Vein identification using line features
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 t...
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2013
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sg-ntu-dr.10356-979932020-05-28T07:41:40Z Vein identification using line features Li, Fang Wang, Lingyu He, Ying School of Computer Engineering Spring Congress on Engineering and Technology (2012 : Xi'an, China) 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. 2013-07-25T06:34:41Z 2019-12-06T19:49:08Z 2013-07-25T06:34:41Z 2019-12-06T19:49:08Z 2012 2012 Conference Paper Li, F., Wang, L., & He, Y. (2012). Vein Identification Using Line Features. 2012 Spring Congress on Engineering and Technology (S-CET). https://hdl.handle.net/10356/97993 http://hdl.handle.net/10220/12245 10.1109/SCET.2012.6342014 en © 2012 IEEE. |
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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. |
| author2 |
School of Computer Engineering |
| author_facet |
School of Computer Engineering Li, Fang Wang, Lingyu He, Ying |
| format |
Conference or Workshop Item |
| author |
Li, Fang Wang, Lingyu He, Ying |
| spellingShingle |
Li, Fang Wang, Lingyu He, Ying Vein identification using line features |
| author_sort |
Li, Fang |
| title |
Vein identification using line features |
| title_short |
Vein identification using line features |
| title_full |
Vein identification using line features |
| title_fullStr |
Vein identification using line features |
| title_full_unstemmed |
Vein identification using line features |
| title_sort |
vein identification using line features |
| publishDate |
2013 |
| url |
https://hdl.handle.net/10356/97993 http://hdl.handle.net/10220/12245 |
| _version_ |
1681058610083266560 |