IMPROVED APPROACH TO IRIS SEGMENTATION BASED ON BRIGHTNESS CORRECTION FOR IRIS RECOGNITION SYSTEM

摘要

With the increasing need for security systems, security and the authentication of individuals become nowadays more than ever an asset of great significance in almost every field. Iris recognition system provides identification and verification of an individual automatically based on characteristics and the unique features in iris structure. The correct iris recognition system based on the iris segmentation method and how controlled the inner and outer boundaries of iris that can be damaged by irrelevant parts such as eyelashes and eyelid. To achieve this aim, in this paper basically explains the proposed segmentation method [Iris Segmentation Based on Brightness Correction ISBC] by addition two brightness FB(First Brightness) and SB(Second Brightness), which applied on an eye image passed through preprocessing operations to implement this algorithm in C# Programming Language, with a new modifications in iris segmentation stage. The proposed approach testing conducted on the iris CASIA (Chinese Academy of Science and Institute of Automation) dataset (CASIA v1.0 and CASIA v4.0 interval ) iris image database and the results indicated that proposed approach has 100% accuracy rates with (CASIA v1.0) and 100% accuracy rates with (CASIA v4.0 interval).