Previous researchers have explored various approaches for predicting the gender of a
person based on the features of the iris texture. This paper is the first to predict gender …

The iris and face are among the most promising biometric traits that can accurately identify a
person because their unique textures can be swiftly extracted during the recognition …

Human iris contains rich textural information which serves as the key information for
biometric identifications. It is very unique and one of the most accurate biometric modalities …

Iris Biometrics: From Segmentation to Template Security provides critical analysis,
challenges and solutions on recent iris biometric research topics, including image …

Biometrics has gained a lot of attention over recent years as a way to identify individuals. Of
all biometrics-based techniques, the iris-pattern-based systems have recently shown very …

Remote human identification using iris biometrics has high civilian and surveillance
applications and its success requires the development of robust segmentation algorithm to …

In recent years, cross-spectral iris recognition has emerged as a promising biometric
approach to establish the identity of individuals. However, matching iris images acquired at …

We present a fuzzy extractor whose security can be reduced to the hardness of Learning
Parity with Noise (LPN) and can efficiently correct a constant fraction of errors in a biometric …

The principle of separation of concerns has long been used by software engineers to
manage the complexity of software system development. Programming languages help …

In this work adaptive Bloom filter-based transforms are applied in order to mix binary iris
biometric templates at feature level, where iris-codes are obtained from both eyes of a single …