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This paper considers three issues that arise in creating an algorithm for robust detection of textured contact lenses in iris recognition images. ... One issue is whether accurate segmentation of the iris region is required in order to achieve accurate detection of textured contact lenses. ... For this particular problem of textured contact lens detection, BSIF appears to offer substantially better performance. BSIF accuracy is generally higher, and generalizes better. ...doi:10.1109/access.2015.2477470 fatcat:p7swzhukefg7picib6a6x6xqli
International Journal of Advanced Research in Computer Science and Software Engineering
The extracted biometric features are fused and fed to a convolution neural network that employs deep learning to detect spoofed features from real features. ... The proposed method is designed to overcome spoofing in a multimodal biometric system that uses a combination of face, fingerprint and iris images. ... The iris spoofing methods include iris images, photographic surfaces, fake glass or plastic eye and iris texture printed on contact lenses. ...doi:10.23956/ijarcsse/v7i3/0143 fatcat:mfyzkngvmzdo7fyscy2qmdxt5y
performance of face or iris when only ocular region is present in the image. ... We also propose a path forward to advance the research on ocular recognition by (i) improving the sensing technology, (ii) heterogeneous recognition for addressing interoperability, (iii) utilizing advanced ... Acknowledgements A part of this research is supported through a grand by the Department of Electronics and Information Technology, Government of India. ...doi:10.1016/j.inffus.2015.03.005 fatcat:ph2katoyuzdylamlesnt7vzbay
Iris and Periocular Biometric Recognition
However, the accuracy of iris based biometric systems is sensitive to the presence of contact lenses in acquired sample images. ... This chapter introduces the problem of contact lens detection with particular focus on cosmetic contact lenses. ... "contact˙lens˙detec ...doi:10.1049/pbse005e_ch12 fatcat:so7hv3rvf5hg3jvabkvwfq25km