Iris Image Processing in Compressive Sensing Scenario
Image and Video Processing
2019-02-11 v1 Multimedia
Abstract
This paper observes the application of the Compressive Sensing in reconstruction of the under-sampled iris images. Iris recognition represents form of biometric identification whose usage in real applications is growing. Compressive Sensing represents a novel form of sparse signal acquisition and recovering when small amount of data is a available. Different sparsity domains are considered and compared using various number of available image pixels. The theory is verified on iris images.
Cite
@article{arxiv.1902.03123,
title = {Iris Image Processing in Compressive Sensing Scenario},
author = {Radoje Darmanovic and Tamara Bulatovic and Seid Salkovic},
journal= {arXiv preprint arXiv:1902.03123},
year = {2019}
}
Comments
Student paper submitted to The 8th Mediterranean Conference on Embedded Computing - MECO'2019