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Iris recognition under the influence of diabetes
Mohammadreza Azimi1, Seyed Ahmad Rasoulinejad2, Andrzej Pacut1
1Institute of Electronics and Information Technology, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland.
Biomedizinische Technik. Biomedical Engineering
|July 20, 2019
Summary
Diabetes can affect iris recognition accuracy. This study evaluated iris recognition performance using a new dataset of healthy and diabetic individuals, finding potential impacts on biometric system reliability.
Area of Science:
- Biometrics
- Ophthalmology
- Medical Informatics
Background:
- Diabetes mellitus is a systemic disease that can affect various organs, including the eyes.
- Iris recognition is a biometric technology that uses unique iris patterns for identification.
- The potential impact of diabetes on iris patterns and recognition accuracy is not well-understood.
Purpose of the Study:
- To investigate the performance of iris recognition systems in individuals with diabetes.
- To create and analyze a novel iris image database comprising both healthy and diabetic subjects.
- To evaluate the influence of diabetes on the accuracy and reliability of iris-based identification.
Main Methods:
- Collected a new database of 1318 iris images from 343 individuals (162 healthy, 181 with Type II diabetes).
- Included only diabetic patients with at least two years of disease duration and clearly visible iris patterns.
- Evaluated iris recognition performance using three open-source algorithms and one commercial software development kit.
Main Results:
- The study established a comprehensive dataset for analyzing iris recognition in diabetic populations.
- Performance metrics of iris recognition systems were assessed under the influence of diabetes.
- Statistical analysis using t-tests and Kolmogorov-Smirnov tests was performed to interpret the results.
Conclusions:
- Diabetes may influence the performance of iris recognition systems.
- Further research is needed to understand and mitigate potential biases in biometric identification due to diabetes.
- The findings highlight the importance of considering health conditions in the development and deployment of biometric technologies.
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