Proceedings ArticleDOI
Unconstrained visible spectrum iris with textured contact lens variations: Database and benchmarking
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TLDR
The first contact lens database in visible spectrum, Unconstrained Visible Contact Lens Iris (UVCLI) Database, is introduced, containing samples from 70 classes with subjects wearing textured contact lenses in indoor and outdoor environments across multiple sessions and shows that there is a significant scope of improvement in developing efficient PAD algorithms for detection of texturedContact lenses in unconstrained visible spectrum iris images.Abstract:
Iris recognition in visible spectrum has developed into an active area of research This has elevated the importance of efficient presentation attack detection algorithms, particularly in security based critical applications In this paper, we present the first detailed analysis of the effect of textured contact lenses on iris recognition in visible spectrum We introduce the first contact lens database in visible spectrum, Unconstrained Visible Contact Lens Iris (UVCLI) Database, containing samples from 70 classes with subjects wearing textured contact lenses in indoor and outdoor environments across multiple sessions We observe that textured contact lenses degrade the visible spectrum iris recognition performance by over 25% and thus, may be utilized intentionally or unintentionally to attack existing iris recognition systems Next, three iris presentation attack detection (PAD) algorithms are evaluated on the proposed database and highest PAD accuracy of 8285%c is observed This illustrates that there is a significant scope of improvement in developing efficient PAD algorithms for detection of textured contact lenses in unconstrained visible spectrum iris imagesread more
Citations
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Journal ArticleDOI
Presentation Attack Detection for Iris Recognition: An Assessment of the State-of-the-Art
Adam Czajka,Kevin W. Bowyer +1 more
TL;DR: In this paper, different categories of presentation attack are described and placed in an application-relevant framework, and the state-of-the-art in detecting each category of attack is summarized.
Journal ArticleDOI
A survey of iris datasets
Lubos Omelina,Lubos Omelina,Lubos Omelina,Jozef Goga,Jarmila Pavlovicova,Milos Oravec,Bart Jansen,Bart Jansen +7 more
TL;DR: An overview of the existing publicly available datasets and their popularity in the research community using a bibliometric approach is provided to help investigators conducting research in the domain of iris recognition to identify relevant datasets.
Posted Content
Presentation Attack Detection for Iris Recognition: An Assessment of the State of the Art.
Adam Czajka,Kevin W. Bowyer +1 more
TL;DR: Different categories of presentation attack are described and placed in an application-relevant framework, and the state of the art in detecting each category of attack is summarized.
Proceedings ArticleDOI
A Survey in Presentation Attack and Presentation Attack Detection
TL;DR: A general taxonomy of presentation attacks is proposed to cover different biometric modalities considering the attacker’s intention and the presentation instrument and mechanisms that aim to eliminate or mitigate those attacks are also taxonomized.
Journal ArticleDOI
Presentation attack detection for iris recognition using deep learning
Shefali Arora,Mps Bhatia +1 more
TL;DR: Deep Convolutional Neural Networks are used to detect spoofing techniques with superior results as compared to the existing state-of-the-art techniques on iris recognition.
References
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MATLAB Source Code for a Biometric Identification System Based on Iris Patterns
Libor Masek,Peter Koves +1 more
Journal ArticleDOI
The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance
TL;DR: The main purpose of this paper is to announce the availability of the UBIRIS.v2 database, a multisession iris images database which singularly contains data captured in the visible wavelength, at-a-distance and on on-the-move.
Journal ArticleDOI
Iris Recognition: On the Segmentation of Degraded Images Acquired in the Visible Wavelength
TL;DR: This work presents a segmentation method that can handle degraded images acquired in less constrained conditions, and offers the following contributions: to consider the sclera the most easily distinguishable part of the eye in degraded images, and to run the entire procedure in deterministically linear time in respect to the size of the image.
Journal ArticleDOI
Mobile Iris Challenge Evaluation (MICHE)-I, biometric iris dataset and protocols
TL;DR: A new dataset of iris images acquired by mobile devices can support researchers with regard to biometric dimensions of interest including uncontrolled settings, demographics, interoperability, and real-world applications.
Journal ArticleDOI
Smartphone based visible iris recognition using deep sparse filtering
TL;DR: A new segmentation scheme is proposed and adapted to smartphone based visible iris images for approximating the radius of the iris to achieve robust segmentation and a new feature extraction method based on deepsparsefiltering is proposed to obtain robust features for unconstrained iris image images.
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