S/Sung : Poss NIR reservations?, page-2

Oh....and just something from the Academic field appearing to acknowledge the possible benefits of Vis Light in Ocular Biometrics is this latest request for submissions.

They have built a specific database of pics of eyes from "selfie" cameras of Samsung, iPhone and Oppo so as to obtain testing of algos for Vis Light in Mobile Ocular Biometrics. Again,, my bold of interesting points.

http://www.2016.ieeeicip.org/MobileOcularBiometrics_IEEEICIP2016_ChallengeSpecialSession.pdf

Call for Papers for Challenge Special Session Title of Special Session: Large Scale Evaluation of Mobile Ocular Biometrics in Visible Spectrum

Paper Submission Deadline: 16th March 2016 Acceptance Notification: 30th April 2016 Aims and Scope:

Biometric technology has been widely integrated in mobile devices as a method of personal authentication. In this regard, ocular biometrics (i.e., iris, conjunctival vasculature and periocular) in the visible spectrum has become especially attractive because it can be acquired using the regular RGB cameras already available in all mobile devices. However, state-of-the-art related to recognition based on ocular biometrics in the visible spectrum is nascent. Few publicly available databases on ocular biometrics such as UPOL, UBIRIS and MICHE, do not facilitate large-scale evaluation of the recognition schemes, and not necessarily acquire eye images from mobile devices.

To facilitate advancement in the field of mobile ocular biometrics

 We have collected a large scale database of 550 subjects comprising of eye images captured using front facing (selfie) cameras of three different mobile devices, namely Oppo (13 MP), Samsung and iPhone. This database is referred to as “Visible Light Mobile Ocular Biometric” Database (VISOB).

 VISOB dataset presents possible intra-class variations due to the nature of mobile front facing cameras and everyday mobile biometric use cases, such as out-of-focus images, occlusions due to prescription glasses, different illumination conditions, gaze deviations, eye-makeup (i.e., eye liner and mascara), specular reflections, and motion blur.

We aim to conduct an international competition on VISOB for the large scale evaluation of the algorithms from academia and industry on a common test bed, and to promote further research and advancement in the field of mobile ocular biometrics in visible light.