Abstract
Several recent research efforts in the biometrics have focused on developing personal identification using very low-resolution imaging resulting from widely deployed surveillance cameras and mobile devices. Identification of human faces using such low-resolution imaging has shown promising results and has shown its utility for range of applications (surveillance). This paper investigates contactless identification of such low resolution ( 50 dpi) fingerprint images acquired using webcam. The acquired images are firstly subjected to robust preprocessing steps to extract region of interest and normalize uneven illumination. We extract localized feature information and effectively incorporate this local information into matching stage. The experimental results are presented on two session database of 156 subjects acquired over a period of 11 months and achieve average rank-one identification accuracy of 93.97%. The achieved results are highly promising to invite attention for range of applications, including surveillance, and sprung new directions for further research efforts.
Original language | English |
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Title of host publication | 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011 |
DOIs | |
Publication status | Published - 31 Oct 2011 |
Event | 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011 - Colorado Springs, CO, United States Duration: 20 Jun 2011 → 25 Jun 2011 |
Conference
Conference | 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011 |
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Country | United States |
City | Colorado Springs, CO |
Period | 20/06/11 → 25/06/11 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering