BIRD: Watershed Based IRis Detection for mobile devices

Communications with a central iris database system using common wireless technologies, such as tablets and smartphones, and iris acquisition out of the field are important functionalities and capabilities of a mobile iris identification device. However, when images are acquired by means of mobile devices under uncontrolled acquisition conditions, noisy images are produced and the effectiveness of the iris recognition system is significantly conditioned. This paper proposes a technique based on watershed transform for iris detection in noisy images captured by mobile devices. The method exploits the information related to limbus to segment the periocular region and merges its score with the iris' one to achieve greater accuracy in the recognition phase

Recent Advances in Biometric Technology for Mobile Devices

International audienceThe prevalent commercial deployment of mobile biometrics as a robust authentication method on mobile devices has fueled increasingly scientific attention. Motivated by this, in this work we seek to provide insight on recent development in mobile biometrics. We present parallels and dissimilarities of mobile biometrics and classical biometrics, enumerate related benefits and challenges. Further we provide an overview of recent techniques in mobile biometrics, as well as application systems adopted by industry. Finally, we discuss open research problems in this field

The Role of Eye Gaze in Security and Privacy Applications: Survey and Future HCI Research Directions

For the past 20 years, researchers have investigated the use of eye tracking in security applications. We present a holistic view on gaze-based security applications. In particular, we canvassed the literature and classify the utility of gaze in security applications into a) authentication, b) privacy protection, and c) gaze monitoring during security critical tasks. This allows us to chart several research directions, most importantly 1) conducting field studies of implicit and explicit gaze-based authentication due to recent advances in eye tracking, 2) research on gaze-based privacy protection and gaze monitoring in security critical tasks which are under-investigated yet very promising areas, and 3) understanding the privacy implications of pervasive eye tracking. We discuss the most promising opportunities and most pressing challenges of eye tracking for security that will shape research in gaze-based security applications for the next decade

Conception et développement de systémes biométriques multimodaux

In this thesis, the results of the study of new techniques for biometric recognitionon mobile devices are presented. In particular, because of the backgroundknowledge of the PhD candidate, the use of iris recognition has been investigated.Many aspects of iris recognition on mobile devices have been analysed,starting from the study of the issues related to the iris images acquisition processusing mobile devices, that has led to the formulation of an acquisition protocoland the collection of an iris image database, namely the MICHE dataset, thenanalysing the challenges of iris segmentation on mobile devices, exploring thebenefits of combining iris with other biometric traits or authentication items,and finally investigating its possible combination with a relative new biometrictrait, i.e. the gaze.It is worth noticing that each analysed aspect, has been then employed inthe development of the others, e.g. the database has been used to test all thetechniques developed, and the iris segmentation methods have been used as partof the recognition systems presented.Les activités décrites dans cette thèse se sont portées sur le développementde solutions pour la reconnaissance biométrique sur les appareils mobiles. Enparticulier, en raison des connaissances du doctorant, l’utilisation de la reconnaissancede l’iris a été étudiée. De nombreux aspects de la reconnaissance del’iris sur les appareils mobiles ont été analysées à partir de l’étude des problèmesliés à l’acquisition des images de l’iris en utilisant des dispositifs mobiles.Les recherches ont conduit à la formulation d’un protocole d’acquisition et à lacollection d’une base de données d’images d’iris, c’est-à-dire la base de donnéesMICHE, puis à analyser les difficultés liées à la segmentation de l’iris sur lesappareils mobiles, en explorant les avantages de combiner l’iris avec d’autrestraits biométriques ou des éléments d’authentification, et enfin à étudier sur sonéventuelle association avec un nouveau trait biométrique: le regard.Il convient de noter que chaque travail réalisé, a été utilisé dans le développement d’autres travaux, par exemple, la base de données a été utilisée pour testertoutes les techniques mises au point, et les méthodes de segmentation développéesont été utilisées dans le cadre des systèmes de reconnaissance présentés