Contact lens classification by using segmented lens boundary features

Recent studies have shown that the wearing of soft lens may lead to performance degradation with the increase of false reject rate. However, detecting the presence of soft lens is a non-trivial task as its texture that almost indiscernible. In this work, we proposed a classification method to identify the existence of soft lens in iris image. Our proposed method starts with segmenting the lens boundary on top of the sclera region. Then, the segmented boundary is used as features and extracted by local descriptors. These features are then trained and classified using Support Vector Machines. This method was tested on Notre Dame Cosmetic Contact Lens 2013 database. Experiment showed that the proposed method performed better than state of the art methods

Biometrics in ABC: counter-spoofing research

Automated border control (ABC) is concerned with fast and secure processing for intelligence-led identification. The FastPass project aims to build a harmonised, modular reference system for future European ABC. When biometrics is taken on board as identity, spoofing attacks become a concern. This paper presents current research in algorithm development for counter-spoofing attacks in biometrics. Focussing on three biometric traits, face, fingerprint, and iris, it examines possible types of spoofing attacks, and reviews existing algorithms reported in relevant academic papers in the area of countering measures to biometric spoofing attacks. It indicates that the new developing trend is fusion of multiple biometrics against spoofing attacks

Quantitative Binocular Assessment Using Infrared Video Photoscreening

Photorefraction is a technique that has been used in the past two decades for pediatric vision screening. The technique uses a digital or photographic camera to capture the examinee‟s retinal reflex from a light source that is located near the camera‟s lens. It has the advantages of being objective, binocular and low cost, which make it a good candidate for pediatric screening when compared to other methods. Although many children have been screened using this technique in the U.S., its sensitivity and other disadvantages make it unacceptable for continued use. The Adaptive Photorefraction system (APS) was developed at the Center for Laser Applications (CLA) at the University of Tennessee Space Institute (UTSI) to correct the problems in the existing PS devices. APS was designed to determine quantitatively binocular refractive errors and strabismus and to accomplish these tasks objectively, without the need of medical professionals, and it is capable of performing these objectives and reporting the digitally recorded results within one- to-two minutes. In this dissertation, two APS prototypes were constructed, and measurements were performed using both an artificial eye and human subjects. Binocular measurements of refractive error were determined, and the effects of the variation of pupil-size and gaze angle were determined. After initial corrections for ocular scattering effects, measurement of the binocular refractive error of forty human subjects was achieved, and in the myopic region with uncertainty of the method was 0.6 diopter. Ocular alignment determinations were achieved, and using a novel cover-uncover test, strabismus detection was demonstrated