Iris Image Quality Testing and Iris Verification
نویسندگان
چکیده
منابع مشابه
Iris Verification and ANOVA for Iris Image Quality
Iris recognition has been acknowledged as the most accurate method in biometrics that is one of main automated identification technologies. The iris image quality and iris verification of eyes in dark brown, regular brown, hazel, green, and blue was tested. The effects of eyeglasses and contact lenses on the iris image quality score and iris verification were investigated, respectively. The inv...
متن کاملAspects of Iris Image and Iris Match Pair Quality
Iris recognition technology has the potential to broaden to include non-ideal imaging situations, as well as scale to national-level deployments. Hence, the study of population factors, subject intrinsics, and sensing contexts that can individually or collectively impact iris recognition performance assumes increased importance. This presentation summarizes recent research on a number of such ...
متن کاملIris Image Quality Parameters and Imaging Performance
The performance of an iris recognition system can be undermined by poor quality images and result in high false reject rates (FRR) and failure to enrol (FTE) rates. In this article, a signal to noise ratio (SNR), Grey scale Density, Contrast between sclera and Iris, contrast between iris and pupil quality measure for iris images is proposed. The merit of this approach lies in its ability to dif...
متن کاملImage Quality Assessment for Iris Biometric
Iris recognition, the ability to recognize and distinguish individuals by their iris pattern, is the most reliable biometric in terms of recognition and identification performance. However, performance of these systems is affected by poor quality imaging. In this work, we extend previous research efforts on iris quality assessment by analyzing the effect of seven quality factors: defocus blur, ...
متن کاملIris Image Quality Assessment for Biometric Application
Image quality assessment plays an important role in the performance of biometric system involving iris images. Data quality assessment is a key issue in order to broaden the applicability of iris biometrics to unconstrained imaging conditions. In this paper, we have proposed the quality factors of individual iris images by assessing their prominent factors by their scores. The work has been car...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Electrical and Computer Engineering (IJECE)
سال: 2013
ISSN: 2088-8708
DOI: 10.11591/ijece.v3i4.2769