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Related papers: Smartphone-based Iris Recognition through High-Qua…

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Smartphone-based iris recognition in the visible spectrum (VIS) remains difficult due to illumination variability, pigmentation differences, and the absence of standardized capture controls. This work presents a compact end-to-end pipeline…

Image and Video Processing · Electrical Eng. & Systems 2026-02-23 Naveenkumar G Venkataswamy , Yu Liu , Soumyabrata Dey , Stephanie Schuckers , Masudul H Imtiaz

Smartphone-based iris recognition in the visible spectrum (VIS) offers a low-cost and accessible biometric alternative but remains a challenge due to lighting variability, pigmentation effects, and the limited adoption of standardized…

Image and Video Processing · Electrical Eng. & Systems 2025-12-18 Naveenkumar G. Venkataswamy , Yu Liu , Soumyabrata Dey , Stephanie Schuckers , Masudul H. Imtiaz

With the recent shift towards mobile computing, new challenges for biometric authentication appear on the horizon. This paper provides a comprehensive study of cross-spectral iris recognition in a scenario, in which high quality color…

Computer Vision and Pattern Recognition · Computer Science 2018-07-12 Mateusz Trokielewicz , Ewelina Bartuzi

This paper delivers a new database of iris images collected in visible light using a mobile phone's camera and presents results of experiments involving existing commercial and open-source iris recognition methods, namely: IriCore, VeriEye,…

Computer Vision and Pattern Recognition · Computer Science 2018-09-05 Mateusz Trokielewicz

Iris Recognition (IR) is one of the market's most reliable and accurate biometric systems. Today, it is challenging to build NIR-capturing devices under the premise of hardware price reduction. Commercial NIR sensors are protected from…

Computer Vision and Pattern Recognition · Computer Science 2022-10-25 Daniel P. Benalcazar , Juan E. Tapia , Mauricio Vasquez , Leonardo Causa , Enrique Lopez Droguett , Christoph Busch

Iris recognition, a relatively new biometric technology, has great advantages, such as variability, stability and security, thus is the most promising for high security environment. Iris recognition is proposed in this report. We describe…

Computer Vision and Pattern Recognition · Computer Science 2013-03-05 Belhassen Akrout , Imen Khanfir Kallel , Chokri Ben Amar

Augmented and virtual reality is being deployed in different fields of applications. Such applications might involve accessing or processing critical and sensitive information, which requires strict and continuous access control. Given that…

Computer Vision and Pattern Recognition · Computer Science 2020-10-23 Fadi Boutros , Naser Damer , Kiran Raja , Raghavendra Ramachandra , Florian Kirchbuchner , Arjan Kuijper

Iris recognition has emerged as one of the most accurate and convenient biometric for the human identification and has been increasingly employed in a wide range of e-security applications. The quality of iris images acquired at-a-distance…

Computer Vision and Pattern Recognition · Computer Science 2020-01-07 Kuo Wang , Ajay Kumar

The gaze behavior of virtual avatars is critical to social presence and perceived eye contact during social interactions in Virtual Reality. Virtual Reality headsets are being designed with integrated eye tracking to enable compelling…

Human-Computer Interaction · Computer Science 2020-03-10 Brendan John , Sophie Jörg , Sanjeev Koppal , Eakta Jain

In recent years, mobile Internet has accelerated the proliferation of smart mobile development. The mobile payment, mobile security and privacy protection have become the focus of widespread attention. Iris recognition becomes a…

Computer Vision and Pattern Recognition · Computer Science 2020-06-16 Siming Zheng , Rahmita Wirza O. K. Rahmat , Fatimah Khalid , Nurul Amelina Nasharuddin

Iris Recognition Systems are ocular- based biometric devices used primarily for security reasons. The complexity and the randomness of the Iris, amongst various other factors, ensure that this biometric system is inarguably an exact and…

Computer Vision and Pattern Recognition · Computer Science 2014-10-28 Abhimanyu Sarin , Dr. Jagadish Nayak

Iris recognition technology plays a critical role in biometric identification systems, but their performance can be affected by variations in iris pigmentation. In this work, we investigate the impact of iris pigmentation on the efficacy of…

Computer Vision and Pattern Recognition · Computer Science 2024-11-14 Geetanjali Sharma , Abhishek Tandon , Gaurav Jaswal , Aditya Nigam , Raghavendra Ramachandra

Iris texture is widely regarded as a gold standard biometric modality for authentication and identification. The demand for robust iris recognition methods, coupled with growing security and privacy concerns regarding iris attacks, has…

Computer Vision and Pattern Recognition · Computer Science 2025-04-15 Mengdi Wang , Efe Bozkir , Enkelejda Kasneci

Non-invasive, efficient, physical token-less, accurate and stable identification methods for newborns may prevent baby swapping at birth, limit baby abductions and improve post-natal health monitoring across geographies, within the context…

Computer Vision and Pattern Recognition · Computer Science 2025-01-03 Rasel Ahmed Bhuiyan , Mateusz Trokielewicz , Piotr Maciejewicz , Sherri Bucher , Adam Czajka

Recognition of iris based on Visible Light (VL) imaging is a difficult problem because of the light reflection from the cornea. Nonetheless, pigment melanin provides a rich feature source in VL, unavailable in Near-Infrared (NIR) imaging.…

Computer Vision and Pattern Recognition · Computer Science 2016-11-17 Mahdi S. Hosseini , Babak N. Araabi , Hamid Soltanian-Zadeh

Biometric technologies are the foundation of personal identification systems. It provides an identification based on a unique feature possessed by the individual. This paper provides a walkthrough for image acquisition, segmentation,…

Computer Vision and Pattern Recognition · Computer Science 2011-11-23 S. Nithyanandam , K. S. Gayathri , P. L. K. Priyadarshini

We propose a new iris presentation attack detection method using three-dimensional features of an observed iris region estimated by photometric stereo. Our implementation uses a pair of iris images acquired by a common commercial iris…

Computer Vision and Pattern Recognition · Computer Science 2018-11-20 Adam Czajka , Zhaoyuan Fang , Kevin W. Bowyer

Iris-based biometric identification is increasingly recognized for its significant accuracy and long-term stability compared to other biometric modalities such as fingerprints or facial features. However, all biometric modalities are highly…

Cryptography and Security · Computer Science 2026-03-31 Christina Karakosta , Lian Alhedaithy , William J. Knottenbelt

Recently, iris recognition is regaining prominence in immersive applications such as extended reality as a means of seamless user identification. This application scenario introduces unique challenges compared to traditional iris…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Yuxi Mi , Qiuyang Yuan , Zhizhou Zhong , Xuan Zhao , Jiaogen Zhou , Fubao Zhu , Jihong Guan , Shuigeng Zhou

Biometric methods based on iris images are believed to allow very high accuracy, and there has been an explosion of interest in iris biometrics in recent years. In this paper, we use the Scale Invariant Feature Transformation (SIFT) for…

Computer Vision and Pattern Recognition · Computer Science 2021-11-02 Fernando Alonso-Fernandez , Pedro Tome-Gonzalez , Virginia Ruiz-Albacete , Javier Ortega-Garcia
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