A Lightweight Mamdani Fuzzy Controller for Noise Removal on Iris Images


The iris segmentation step is usually the most time consuming stage of biometric systems when dealing with non ideal conditions, which produce diverse noise factors during the acquisition. On the other side, it also represents a crucial step since poor removal of noise leads to degradation of recognition performance. In this work, a lightweight fuzzy-based solution has been explored. The goal is to propose a fast but reliable segmentation approach which preserves the original resolution of the iris images. The preliminary results obtained on a subset of MICHE dataset, confirmed both acceptable performance in terms of time consumption and good quality of segmentation mask suitable for matching purposes.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 10485 LNCS, 2017, Pages 93-103 19th International Conference on Image Analysis and Processing, ICIAP 2017; Catania; Italy; 11 September 2017 through 15 September 2017; Code 200739
Silvio Barra
Silvio Barra
Assistant Professor

Assistant Professor @ University of Naples