… analysis of deep learning techniques developed for two main sub-tasks in iris biometrics:
segmentation and recognition… the robustness of iris recognition systems against presentation …

… analysis, we also critically reviewed the databases to understand their suitability for particular
iris recognition … In section 3, we present the results of a bibliometric analysis where we …

… for biometric sensors, feature extractors and matchers. This paper surveys research to date
on the problem of using iris images acquired after death for automated human recognition. A …

… of different biometric recognition systems in recent years. In this work, we provide a … survey
of more than 150 promising works on biometric recognition (including face, fingerprint, iris…

… study, their concerns were the problems of the recognition system of the iris images that were
acquired in unconstrained imaging … of recognition systems of the iris image becomes more …

… in the database for the extracted biometric template. The future … Image Acquisition, Iris
Segmentation and Iris Localization. The paper aims to optimise these processes in terms of image …

… To contribute in this regard, this study offers a robust scheme that functions as follows. First,
it supplements the … This study proposed a robust iris segmentation scheme for human face …

… a PAD method depending on image distortion analysis. Later, the … of texture analysis (LBP
and colour) and image analysis … of the Image Quality Analysis and Texture Analysis (Gabor-…

… It is also perceived that search queries were expressed to attain all the relevant results
connected to the research questions presented in this study based on iris biometric detection. The …

… study, and the simulation was implemented on the MATLAB IDE to evaluate the effectiveness
of the Iris Recognition … used in this study to extract features from a segmented iris image. To …