Open AccessIris Image Segmentation and Localization using Dynamic Reconfigurable Processor
Author(s) -
Smaran S. Rao,
R. Shreyas,
Gajanan Maske,
Antara Roy Choudhury
Publication year - 2020
Publication title -
journal of innovative image processing
Language(s) - English
Resource type - Journals
ISSN - 2582-4252
DOI - 10.36548/jiip.2020.3.005
Subject(s) - iris (biosensor) , iris recognition , computer science , artificial intelligence , segmentation , computer vision , matching (statistics) , image segmentation , feature extraction , feature (linguistics) , image (mathematics) , pattern recognition (psychology) , field (mathematics) , biometrics , mathematics , linguistics , statistics , philosophy , pure mathematics
Recognition of the Iris is among the finest techniques in the field of bio-metrics identification, because the iris has characteristics that are unique and stay the same all through the individual’s life. Iris recognition phases are namely image acquisition, segmentation of iris, localization of iris, feature extraction of iris and matching. This paper, which is an extension of the survey paper Smaran et.al[1], concentrates purely on the procedures of image capture, segmentation as well as localization of the iris. The aim of the paper is to optimize the above mentioned processes in terms of distance of capturing the image, time taken for memory and computation requirements, using the DRP (Dynamic Re-Configurable Processor) technology, uniquely developed by Renesas Electronics (www.renesas.com).