A Novel Iris Verification Framework Using Machine Learning algorithm on Embedded Systems
Chun Yan Lo, Chiu‐Wing Sham, Longyu Ma · 2020
Biometrics is an automatic identification process that measures unique human characteristics such as iris recognition. Recently, with the development of machine learning technology, various new iris verification algorithms have been developed. In this paper, we propose a new iris verification framework for embedded system which uses IrisMatch-CNN as feature extraction and classification. The proposed framework aims to provide a fast, robust and secure iris verification system.