research-article

Vote-based Iris Detection System

Authors:

Tong-Yuen Chai,

Bok-Min Goi,

Yong-Haur Tay,

Yik-Herng KhooAuthors Info & Claims

ICDSP '19: Proceedings of the 2019 3rd International Conference on Digital Signal Processing

Pages 114 - 118

https://doi.org/10.1145/3316551.3316558

Published: 24 February 2019 Publication History

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Abstract

Finding the accurate location of iris is crucial to some applications in biometrics, human computer interaction and medical research. The accuracy of the location will affect the outcome of following iris segmentation, features extraction and measurement, to name a few. This paper presents an accurate vote-based method to detect and localize both irises from color images. The algorithm starts with image filtering steps such as Gaussian filtering to reduce the effect of various lighting conditions. Then, iris candidates will be generated after the detection of reflection in iris. A cost will then be computed for each iris candidate according to the contribution from generic eye template, intensity variation factor, circularity factor and reflective factor. Finally, a pairing process is used to determine the real iris pair in order to locate both irises. Our experiment on Michigan database has reported a promising accuracy of 91.21%.

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Ruiz-Beltrán CRomero-Garcés AGonzález MPedraza ARodríguez-Fernández JBandera A(2022)Real-time embedded eye detection systemExpert Systems with Applications: An International Journal10.1016/j.eswa.2022.116505194:COnline publication date: 15-May-2022
https://dl.acm.org/doi/10.1016/j.eswa.2022.116505
Roy MMalathi DJayaseeli J(2021)Students Attention Monitoring and Alert System for Online Classes using Face Landmarks2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON)10.1109/GUCON50781.2021.9573793(1-6)Online publication date: 24-Sep-2021
https://doi.org/10.1109/GUCON50781.2021.9573793
Nsaif AAli SJassim KNseaf ASulaiman RAl-Qaraghuli AWahdan ONayan N(2021)FRCNN-GNB: Cascade Faster R-CNN With Gabor Filters and Naïve Bayes for Enhanced Eye DetectionIEEE Access10.1109/ACCESS.2021.30528519(15708-15719)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3052851

Index Terms

Vote-based Iris Detection System
1. Security and privacy
  1. Security services
    1. Authentication
      1. Biometrics

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ICDSP '19: Proceedings of the 2019 3rd International Conference on Digital Signal Processing

February 2019

170 pages

ISBN:9781450362047

DOI:10.1145/3316551

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 24 February 2019

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ICDSP 2019

ICDSP 2019: 2019 3rd International Conference on Digital Signal Processing

February 24 - 26, 2019

Jeju Island, Republic of Korea

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Ruiz-Beltrán CRomero-Garcés AGonzález MPedraza ARodríguez-Fernández JBandera A(2022)Real-time embedded eye detection systemExpert Systems with Applications: An International Journal10.1016/j.eswa.2022.116505194:COnline publication date: 15-May-2022
https://dl.acm.org/doi/10.1016/j.eswa.2022.116505
Roy MMalathi DJayaseeli J(2021)Students Attention Monitoring and Alert System for Online Classes using Face Landmarks2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON)10.1109/GUCON50781.2021.9573793(1-6)Online publication date: 24-Sep-2021
https://doi.org/10.1109/GUCON50781.2021.9573793
Nsaif AAli SJassim KNseaf ASulaiman RAl-Qaraghuli AWahdan ONayan N(2021)FRCNN-GNB: Cascade Faster R-CNN With Gabor Filters and Naïve Bayes for Enhanced Eye DetectionIEEE Access10.1109/ACCESS.2021.30528519(15708-15719)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3052851

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Segmentation and localization schemes for non-ideal iris biometric systems

Reliable pupil detection and iris segmentation algorithm based on SPS

A robust iris localization scheme for the iris recognition

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