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Iris Recognition Method for Non-cooperative Images

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Micro-Electronics and Telecommunication Engineering (ICMETE 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 894))

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Abstract

When iris images are collected under optimal circumstances, traditional iris segmentation algorithms provide accurate findings. However, an iris identification system’s success is heavily dependent on the precision with which it segments iris pictures, particularly when dealing with irises that are non-cooperative. This research investigates the challenge of recognizing irises in low-quality photos taken under challenging lighting and other imaging situations. In order to reduce processing time and eliminate noise caused by eyelashes and eyelids, the system first acquires an iris image, then improves the image quality, detects the iris boundary and the pupil, detects the eyelids, removes the eyelashes and the shadows, and converts the iris coordinates from Cartesian to polar coordinates. The iris's characteristics are extracted with the use of a Gabor filter and then compared with the help of Euclidean distance. After using the suggested technique, we compared the outcomes with those found in the literature and found that the proposed method yields significant improvements in segmentation accuracy and recognition performance.

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Authors and Affiliations

  1. Department of Computer Science, Faculty of Education for Girls, University of Kufa, Kufa, Iraq

    Zainab Ghayyib Abdul Hasan

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  1. Zainab Ghayyib Abdul Hasan
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Correspondence to Zainab Ghayyib Abdul Hasan .

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Editors and Affiliations

  1. Department of Electronics and Communication Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Devendra Kumar Sharma

  2. National Taipei University of Business, Taoyuan, Taiwan

    Sheng-Lung Peng

  3. Department of Electronics and Communication Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Rohit Sharma

  4. Department of Embedded Systems Engineering, Incheon National University, Incheon, Korea (Republic of)

    Gwanggil Jeon

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Hasan, Z.G.A. (2024). Iris Recognition Method for Non-cooperative Images. In: Sharma, D.K., Peng, SL., Sharma, R., Jeon, G. (eds) Micro-Electronics and Telecommunication Engineering. ICMETE 2023. Lecture Notes in Networks and Systems, vol 894. Springer, Singapore. https://doi.org/10.1007/978-981-99-9562-2_22

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  • DOI: https://doi.org/10.1007/978-981-99-9562-2_22

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-9561-5

  • Online ISBN: 978-981-99-9562-2

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