Isolating Iris Template Ageing in a Semi-Controlled Environment

Hofbauer, Heinz; Tomeo-Reyes, Inmaculada; Uhl, Andreas

doi:10.1109/biosig.2016.7736929

Cited by 7 publications

(4 citation statements)

References 17 publications

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“…Especially, at an age over 6 months this becomes crucial as the pattern changes significantly at this age. This is also an interesting result with regard to the biometry of the human iris, since the human iris shows ageing effects, although the severity of the impact is controversial (see [24]). The fish under study have now also shown an ageing effect, which can much more readily observed and researched owing to the faster life cycle of the Atlantic salmon.…”

Section: Resultsmentioning

confidence: 89%

Towards Fish Individuality-Based Aquaculture

Schraml

Hofbauer

Jalilian

et al. 2021

IEEE Trans. Ind. Inf.

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By bringing concepts of precision farming to intensive aquaculture fish production, it can be optimized to be more sustainable while focusing on fish welfare criteria. This requires a shift from mass to smart production and to consider each fish as an individual. Therefore, it is required to be able to identify each fish in a tank or sea cage. In this paper, we prove the feasibility of fish identification using the iris as a biometric characteristic. Based on a new dataset, captured in a controlled out of water environment (i) a fully automated iris recognition system is presented and utilized for the experiments and (ii) the distinctiveness and the stability of the iris pattern of Atlantic salmon (Salmo salar) is assessed. Results prove the distinctiveness, which indicates that the iris pattern of Atlantic salmon is suited for biometric identification. However, the iris pattern has a low stability, which means it changes over time. Due to frequent interaction of fish and system, usually multiple times a day during feeding, there is ample opportunity keep the biometric template up-to-date which makes the lack of long-term stability a nonissue. It can be concluded that a biometric fish identification system is feasible, with the precondition that biometric templates of each fish are periodically updated to combat the low stability.

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Section: Resultsmentioning

confidence: 89%

Towards Fish Individuality-Based Aquaculture

Schraml

Hofbauer

Jalilian

et al. 2021

IEEE Trans. Ind. Inf.

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“…NIST's IREX VI report, however, states the contrary (Grother et al, 2013), and was later criticized by Bowyer (Bowyer and Ortiz, 2013), and a response to that critique was also published (Grother et al, 2015). Recently, more researchers have made efforts to better understand the non-stationarity of templates, namely by isolating as many factors as possible (Hofbauer et al, 2016), studying the impact of segmentation quality (Wild et al, 2015), but also the influence of sensor aging (Bergmuller et al, 2014). This shows that despite many research efforts having been put into solving these issues, template aging still presents many challenges, and new solutions and experimental methodologies are much welcome.…”

Section: Iris Template Non-stationaritymentioning

confidence: 99%

Iris Recognition under Biologically Troublesome Conditions - Effects of Aging, Diseases and Post-mortem Changes

Trokielewicz

Czajka

Maciejewicz

2017

Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies

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This paper presents the most comprehensive analysis of iris recognition reliability in the occurrence of various biological processes happening naturally and pathologically in the human body, including aging, illnesses, and post-mortem changes to date. Insightful conclusions are offered in relation to all three of these aspects. Extensive regression analysis of the template aging phenomenon shows that differences in pupil dilation, combined with certain quality factors of the sample image and the progression of time itself can significantly degrade recognition accuracy. Impactful effects can also be observed when iris recognition is employed with eyes affected by certain eye pathologies or (even more) with eyes of the deceased subjects. Notably, appropriate databases are delivered to the biometric community to stimulate further research in these utterly important areas of iris biometrics studies. Finally, some open questions are stated to inspire further discussions and research on these important topics. To Authors' best knowledge, this is the only scientific study of iris recognition reliability of such a broad scope and novelty. a a Manuscript accepted for publication at the BIOSIGNALS 2017 conference

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“…The first is template aging. Template aging is defined as the increase in error rates caused by time-related changes, meaning changes in the biometric pattern, the presentation of the pattern and the sensor [1], [2]. Aging affects the human body and the acquisition sensor.…”

Section: Introductionmentioning

confidence: 99%

A Generic Template Update Framework: The Solution for Intra-Class Variations in Biometric Systems

Chen

Feng

et al. 2019

IEEE Access

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It is already a consensus that intra-class variations will decline the performance of biometric systems. Many studies have explained how intra-class variations affect the biometric systems, while few approaches have proposed the effective solutions of template update. Since template update is a crucial procedure in biometric recognition systems, the problem is challenging because the newly selected templates must be representative of a large amount of intra-class variations such as posture changes and lighting conditions. To this end, existing techniques proposed to perform template update by periodically selecting new representative templates. However, all of them are designed for specific biometric traits rather a generic framework, and they are either ineffective because selected templates are less representative or prone to selection errors due to the presence of outliers. In this paper, we propose a novel generic template update framework. We use pass tables to accumulate information for outlier removal and representative templates selection, and further, propose a novel criterion to select the optimal template set according to current templates and similarity threshold. To confirm the effectiveness of our method, we carry out several experiments on synthetic and real datasets from different biometric traits. The results show that the proposed method is more robust than existing ones, and at the same time, achieves a higher accuracy according to the specified performance indicator. It also demonstrated the superiority of our method to random selection for different biometric traits. INDEX TERMSIntra-class variations, pass table, template selection, template update.

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Isolating Iris Template Ageing in a Semi-Controlled Environment

Cited by 7 publications

References 17 publications

Towards Fish Individuality-Based Aquaculture

Towards Fish Individuality-Based Aquaculture

Iris Recognition under Biologically Troublesome Conditions - Effects of Aging, Diseases and Post-mortem Changes

A Generic Template Update Framework: The Solution for Intra-Class Variations in Biometric Systems

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