Abstract
In this paper, we propose to extract global directional features of finger-knuckle-print based on difference image for identity verification. In order to simplify the formulation for computational complexity reduction, the proposed horizontal and vertical difference images are generated based on matrix projection operation. Subsequently, a Heaviside step function is adopted for image ternarization. Next, we extract Fourier features from these ternary images by means of two-dimensional discrete Fourier transform. Finally, matching between extracted features is performed based on an Euclidean distance comparison. Our experiments on IIT Delhi Finger-Knuckle-Image Version 1.0 database show encouraging results in terms of verification accuracy and computing efficiency.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1073-1077 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781509026050 |
| DOIs | |
| Publication status | Published - 2016 Oct 19 |
| Event | 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016 - Hefei, China Duration: 2016 Jun 5 → 2016 Jun 7 |
Publication series
| Name | Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016 |
|---|
Other
| Other | 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016 |
|---|---|
| Country | China |
| City | Hefei |
| Period | 16/6/5 → 16/6/7 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Control and Optimization
Cite this
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Finger-knuckle-print for identity verification based on difference images. / Kim, Jooyoung; Oh, Kangrok; Teoh, Beng Jin; Toh, Kar Ann.
Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1073-1077 7603741 (Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Finger-knuckle-print for identity verification based on difference images
AU - Kim, Jooyoung
AU - Oh, Kangrok
AU - Teoh, Beng Jin
AU - Toh, Kar Ann
PY - 2016/10/19
Y1 - 2016/10/19
N2 - In this paper, we propose to extract global directional features of finger-knuckle-print based on difference image for identity verification. In order to simplify the formulation for computational complexity reduction, the proposed horizontal and vertical difference images are generated based on matrix projection operation. Subsequently, a Heaviside step function is adopted for image ternarization. Next, we extract Fourier features from these ternary images by means of two-dimensional discrete Fourier transform. Finally, matching between extracted features is performed based on an Euclidean distance comparison. Our experiments on IIT Delhi Finger-Knuckle-Image Version 1.0 database show encouraging results in terms of verification accuracy and computing efficiency.
AB - In this paper, we propose to extract global directional features of finger-knuckle-print based on difference image for identity verification. In order to simplify the formulation for computational complexity reduction, the proposed horizontal and vertical difference images are generated based on matrix projection operation. Subsequently, a Heaviside step function is adopted for image ternarization. Next, we extract Fourier features from these ternary images by means of two-dimensional discrete Fourier transform. Finally, matching between extracted features is performed based on an Euclidean distance comparison. Our experiments on IIT Delhi Finger-Knuckle-Image Version 1.0 database show encouraging results in terms of verification accuracy and computing efficiency.
UR - http://www.scopus.com/inward/record.url?scp=84997471090&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84997471090&partnerID=8YFLogxK
U2 - 10.1109/ICIEA.2016.7603741
DO - 10.1109/ICIEA.2016.7603741
M3 - Conference contribution
AN - SCOPUS:84997471090
T3 - Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016
SP - 1073
EP - 1077
BT - Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -