Ubiquitous iris recognition by means of mobile devices

Barra, Silvio; Casanova, Andrea; Narducci, Fabio; Ricciardi, Stefano

doi:10.1016/j.patrec.2014.10.011

Cited by 63 publications

(24 citation statements)

References 22 publications

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“…As illustrated in Figure 1, encoding of the cryptographic key K is performed sequentially by employing first a Reed-Solomon (RS) code [16, p. 294] and then a binary Hadamard code (2 k , k + 1, 2 k−1 ) [16, p. 44]. Following [3], for the case where a single iris is employed we consider shortened RS codes of block length 61 over GF (2 6 ) and the Hadamard (32, 6,16) code. For the case where both irides are employed, we consider shortened RS codes of block length 61 over GF(2 7 ) and the Hadamard (64, 7, 32) code, the same used in [4].…”

Section: Key Regeneration System Proposedmentioning

confidence: 99%

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User Identification and Key Regeneration System Employing Rotated Reference Images of the Iris

Melo

Rocha²,

Lemos-Neto

2016

JCIS

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A new test called rotation search is proposed for user identification and cryptographic key regeneration in systems employing a digital representation of the iris which is called the iris code. When applied to the BIOSECURE, CASIA and NIST-ICE data bases the rotation search shows, on average, a two fold reduction in false rejection ratio (FRR) with a false acceptance ratio (FAR) equal to zero, in comparison with the standard search employed in other systems. The highest improvement reached in FRR by the rotation search against the standard search is about 100 times for a single iris and 85 times for the two irides of a user, and in many cases the measured FRR is equal to zero. . Prof. da Rocha research interests are in applied digital information theory, including error-correcting codes and cryptography. He has published over 100 engineering and scientific papers, including journal and conference papers, and the books Communication Systems, Springer, 2005, and Elements of Algebraic Coding Systems, Momentum Press, 2014. He is currently a Member of the IEEE Alexander Graham Bell Medal Committee.

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Section: Key Regeneration System Proposedmentioning

confidence: 99%

“…Recent research in iris biometric features has focused mainly on finding new methods to obtain irises codes [6]- [9]. Nevertheless, security aspects of biometric systems have also been subject of recent interest [10]- [13].…”

Section: Introductionmentioning

confidence: 99%

User Identification and Key Regeneration System Employing Rotated Reference Images of the Iris

Melo

Rocha²,

Lemos-Neto

2016

JCIS

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“…A recent line of research on iris recognition using smartphones focuses on the use of iris images captured using the existing smartphone cameras [3,15,25]. These cameras capture images in visible wavelength, which may not contain sufficient iris information, especially in dark coloured irises [6,11].…”

Section: Review Of Related Researchmentioning

confidence: 99%

Evaluation of combined visible/NIR camera for iris authentication on smartphones

Thavalengal

Bigioi

Corcoran

2015

2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

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PublicationDate 2015 Publication InformationThavalengal, S.; Bigioi, P.; Corcoran, P., "Evaluation of combined visible/NIR camera for iris authentication on smartphones," AbstractIris biometrics provide a mature and robust method of authentication, but are typically applied in a controlled environment and under constrained acquisition conditions. In this paper, the adaption of iris biometrics for unconstrained, hand-held use cases such as smartphones is investigated. A prototype optics-sensor combination is analysed in terms of its optical properties and iris imaging capabilities. The corresponding camera system with dual visible/NIR sensing capabilities and 4 Megapixel resolution is tested for suitability to implement iris recognition on smartphones. Recognition performance is analysed together with image quality comparisons. Preliminary results indicate that there are challenges to achieve reliable recognition performance in unconstrained use cases. Current optical systems are not diffraction limited, particularly at NIR wavelengths; pixel resolutions are close to the useful limits for iris recognition and acquisition conditions are challenging. Nevertheless, our findings indicate a similar camera module, with an improved optics and sensor, could combine biometric authentication with more conventional front-camera functions such as the capture of selfie images.

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“…In [14], Park et al present a recognition method based on corneal specular reflections, while Kang in [15] presents a method to pre-process iris in order to remove the noise related to occlusions of eyelids and improve system performance. In [16] and [17] authors presents an iris recognition system based on Spatial Histograms. Finally, in [18], authors present a face and iris recognition system for mobile devices that also provides an anti-spoofing module.…”

Section: Related Workmentioning

confidence: 99%

Combining Hardwaremetry and Biometry for Human Authentication via Smartphones

Galdi

Nappi

Dugelay

2015

Image Analysis and Processing — ICIAP 2015

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Abstract. The role of smartphones in our life is ever-increasing. They are used to store and share sensitive data and to perform security critical operation online e.g. home banking transaction or shopping. This leads to the need for a more secure authentication process via mobile phones. Biometrics could be the solution but biometric authentication systems via mobile devices presented so far still do not provide a good trade-off between ease of use and high security level. In this paper we analyze the combination of sensor recognition (hardwaremetry) and iris recognition (biometry) in order to provide a double check of user's identity in one shot, i.e. a single photo of the eye captured by the Smartphone, without the need of additional or dedicated sensors. To the best of our knowledge, this is the first attempt to combine these two aspects.

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Ubiquitous iris recognition by means of mobile devices

Cited by 63 publications

References 22 publications

User Identification and Key Regeneration System Employing Rotated Reference Images of the Iris

User Identification and Key Regeneration System Employing Rotated Reference Images of the Iris

Evaluation of combined visible/NIR camera for iris authentication on smartphones

Combining Hardwaremetry and Biometry for Human Authentication via Smartphones

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