Proceedings ArticleDOI
Revisiting iris recognition with color cosmetic contact lenses
Naman Kohli,Daksha Yadav,Mayank Vatsa,Richa Singh +3 more
- pp 1-7
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TLDR
An in-depth analysis of the effect of contact lens on iris recognition performance is presented and the results computed using VeriEye suggest that color cosmetic lens significantly increases the false rejection at a fixed false acceptance rate.Abstract:
Over the years, iris recognition has gained importance in the biometrics applications and is being used in several large scale nationwide projects. Though iris patterns are unique, they may be affected by external factors such as illumination, camera-eye angle, and sensor interoperability. The presence of contact lens, particularly color cosmetic lens, may also pose a challenge to iris biometrics as it obfuscates the iris patterns and changes the inter and intra-class distributions. This paper presents an in-depth analysis of the effect of contact lens on iris recognition performance. We also present the IIIT-D Contact Lens Iris database with over 6500 images pertaining to 101 subjects. For each subject, images are captured without lens, transparent (prescription) lens, and color cosmetic lens (textured) using two different iris sensors. The results computed using VeriEye suggest that color cosmetic lens significantly increases the false rejection at a fixed false acceptance rate. Also, the experiments on four existing lens detection algorithms suggest that incorporating lens detection helps in maintaining the iris recognition performance. However further research is required to build sophisticated lens detection algorithm that can improve iris recognition.read more
Citations
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Journal ArticleDOI
Design of a frequency spectrum-based versatile two-dimensional arbitrary shape filter bank: application to contact lens detection
TL;DR: This work has devised a unique and novel approach for designing a two-dimensional arbitrary shape filter bank (2-D ASFB) that overcomes limitations posed by the existing filter banks with respect to separability, directionality, orthogonality, and shape.
Proceedings ArticleDOI
Micro Stripes Analyses for Iris Presentation Attack Detection
TL;DR: Zhang et al. as discussed by the authors proposed a lightweight framework to detect iris presentation attacks by extracting multiple micro-stripes of expanded normalized iris textures, which are then used for iris recognition.
Counter Measures Against Iris Direct Attacks Using Fake Images and Liveness Detection Based on Electroencephalogram (EEG)
D. Suganyadevi,Sree Saraswathi +1 more
TL;DR: Direct attacks using fake IRIS Images and its performance measures is presented and it is established that Electroencephalogram (EEG) is an interesting complementary modality to improve the anti-spoofing ability of conservative biometrics based systems.
Journal ArticleDOI
Deep Learning for Iris Recognition: A Survey
TL;DR: A comprehensive analysis ofDeep learning techniques developed for two main sub-tasks in iris biometrics: segmentation and recognition and delve deep into deep learning techniques for forensic application, especially in post-mortem iris recognition.
Proceedings ArticleDOI
Fully Automated Soft Contact Lens Detection from NIR Iris Images
TL;DR: This study proposes a strategy to detect soft contact lens in visual pictures of the eye obtained using NIR sensor and revels the superior performance of the proposed system as compared with other existing techniques.
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Proceedings ArticleDOI
Contact Lens Detection Based on Weighted LBP
Hui Zhang,Zhenan Sun,Tieniu Tan +2 more
TL;DR: A novel fake iris detection algorithm based on improved LBP and statistical features is proposed, which achieves state-of-the-art performance in contact lens spoof detection.