Human identification at a distance using iris and face

Nguyen Thanh, Kien (2013) Human identification at a distance using iris and face. PhD by Publication, Queensland University of Technology.

Abstract

This research has successfully applied super-resolution and multiple modality fusion techniques to address the major challenges of human identification at a distance using face and iris. The outcome of the research is useful for security applications.

Impact and interest:

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

369 since deposited on 25 Sep 2013
62 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 62876
Item Type: QUT Thesis (PhD by Publication)
Supervisor: Sridharan, Sridha, Fookes, Clinton, & Denman, Simon
Keywords: human identification at a distance, iris recognition, super-resolution, multimodal biometrics, Demspter-Shafer fusion theory
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 25 Sep 2013 05:06
Last Modified: 09 Sep 2015 21:49

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page