Exploiting stable features for iris recognition of defocused images
We present a novel approach for recognizing defocused iris images captured outside the Depth of Field (DOF) of cameras. Unlike existing approaches, we do not rely on special hardware or on computationally expensive image restoration algorithms. Instead, the proposed recognition approach exploits sta...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/106616 http://hdl.handle.net/10220/17695 |
| _version_ | 1811695120143089664 |
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| author | Liu, Bo Lam, Siew-Kei Srikanthan, Thambipillai Yuan, Weiqi |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Liu, Bo Lam, Siew-Kei Srikanthan, Thambipillai Yuan, Weiqi |
| author_sort | Liu, Bo |
| collection | NTU |
| description | We present a novel approach for recognizing defocused iris images captured outside the Depth of Field (DOF) of cameras. Unlike existing approaches, we do not rely on special hardware or on computationally expensive image restoration algorithms. Instead, the proposed recognition approach exploits stable bits in the iris code representation which are robust to imaging noise. Experimental results based on over 15,000 images show that when compared to iris recognition of defocused images that relies on the entire code representation, the proposed method achieves an average recognition performance gain of over 2 times. Due to its low computational requirements, the proposed method is well suited for use as part of a multi-biometric system in ubiquitous systems. |
| first_indexed | 2024-10-01T07:18:25Z |
| format | Conference Paper |
| id | ntu-10356/106616 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:18:25Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/1066162020-05-28T07:17:40Z Exploiting stable features for iris recognition of defocused images Liu, Bo Lam, Siew-Kei Srikanthan, Thambipillai Yuan, Weiqi School of Computer Engineering School of Electrical and Electronic Engineering IEEE International Symposium on Circuits and Systems (2012 : Seoul, Korea) Centre for High Performance Embedded Systems We present a novel approach for recognizing defocused iris images captured outside the Depth of Field (DOF) of cameras. Unlike existing approaches, we do not rely on special hardware or on computationally expensive image restoration algorithms. Instead, the proposed recognition approach exploits stable bits in the iris code representation which are robust to imaging noise. Experimental results based on over 15,000 images show that when compared to iris recognition of defocused images that relies on the entire code representation, the proposed method achieves an average recognition performance gain of over 2 times. Due to its low computational requirements, the proposed method is well suited for use as part of a multi-biometric system in ubiquitous systems. 2013-11-15T06:44:50Z 2019-12-06T22:14:58Z 2013-11-15T06:44:50Z 2019-12-06T22:14:58Z 2012 2012 Conference Paper Liu, B., Lam, S.-K., Srikanthan, T., & Yuan, W. (2012). Exploiting stable features for iris recognition of defocused images. 2012 IEEE International Symposium on Circuits and Systems, 97-100. https://hdl.handle.net/10356/106616 http://hdl.handle.net/10220/17695 10.1109/ISCAS.2012.6272207 en |
| spellingShingle | Liu, Bo Lam, Siew-Kei Srikanthan, Thambipillai Yuan, Weiqi Exploiting stable features for iris recognition of defocused images |
| title | Exploiting stable features for iris recognition of defocused images |
| title_full | Exploiting stable features for iris recognition of defocused images |
| title_fullStr | Exploiting stable features for iris recognition of defocused images |
| title_full_unstemmed | Exploiting stable features for iris recognition of defocused images |
| title_short | Exploiting stable features for iris recognition of defocused images |
| title_sort | exploiting stable features for iris recognition of defocused images |
| url | https://hdl.handle.net/10356/106616 http://hdl.handle.net/10220/17695 |
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