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 |
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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 |
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Other
Other | 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016 |
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Country | China |
City | Hefei |
Period | 16/6/5 → 16/6/7 |
Bibliographical note
Funding Information:This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (Grant number: NRF-2015R1D1A1A09061316)
Publisher Copyright:
© 2016 IEEE.
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Control and Optimization