Iris recognition: using a statistical model of shape and spatial relation for effective segmentation
Nadia Feddaoui, Houda Khmila, Nadia Smaoui, Saïd Ettaïeb · International Journal of Digital Signals and Smart Systems · 2018
This paper presents a new segmentation method based both on active shape model (ASM) and spatial distance model to segment iris structures. The extracted iris is normalised by Daugman's rubber sheet model. Then the features are extracted by the 1D log Gabor filter, afterwards the hamming distance is used to compare the binary codes stored previously. The evaluation experiments are performed on a set of 300 right iris images from 41 persons of CASIA-IrisV4 database. We obtain a correct recognition rate of 100%. The experimental results have shown that the performance of the proposed approach is encouraging.