Effects of Ageing on Iris Biometric Recognition | Elakkiya Ellavarason
| | Abstract | The topic `ageing' has gained interest in the field of iris biometrics in recent years and is still under investigation. Being fully aware of the fact that iris bio- metric recognition systems are successfully deployed on large-scale projects such as Indian Unique Identi cation number (UID), United Arab Emirates (UAE) border immigration service, etc., it is crucial to consider the reliability factor on using iris as a biometric modal for long-term usage. The goal of the thesis is to investigate effects of ageing on iris biometrics. The experimental objectives are three-fold, first, to estimate the presence of iris ageing using several iris processing algorithms. Second, to analyze if the ageing effect is subject-speci fic. The nal one is to analyse the validity of the metrics on which iris ageing is proved.
The investigation of template ageing for iris biometrics is done on the ND-Iris- Template-Aging-2008-2010 database, which contains dataset with 157 subjects having two years of elapsed time between the earliest and most recent iris images. Analysis of ageing effects across six different iris recognition algorithms, revealed performance degradation across all of these algorithms.
The distinguishing factor of this work is that the previous work on iris ageing has always considered large dataset for the overall result, but this thesis deals with the performance analysis of each subject present in the dataset. Subject-speci fic analysis revealed that variations in pose and illumination greatly contribute to worse comparison score. Further, results obtained using the multi-instance image analysis algorithms across different feature extraction showed promising results which challenges the metrics on which ageing is proven. | | Type | Master's thesis [Academic thesis] | | Year | 2013 | | Publisher | Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk | | Address | Matematiktorvet, Building 303-B, DK-2800 Kgs. Lyngby, Denmark | | Series | M.Sc.-2013-47 | | Note | DTU supervisor: Rasmus Larsen, rlar@dtu.dk, DTU Compute | | Electronic version(s) | [pdf] | | Publication link | http://www.compute.dtu.dk/English.aspx | | BibTeX data | [bibtex] | | IMM Group(s) | Image Analysis & Computer Graphics |
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