Iris recognition based on 2D Gabor filter

<span lang="EN-US">Iris recognition is a type of biometrics technology that based on physiological features the human body. The objective this research to recognize and identify iris among many irises are stored in visual database. This study employed left right biometric framework for inclusion decision processing by combining image artificial bee colony. proposed approach was evaluated database 280 colored pictures. then divided into 28 clusters. Images were preprocessed texture extracted Gabor filters capture both local global details within an iris. technique begins comparing attributes online-obtained picture with those either generates reject or approve message. consequences intended work reflect output’s accuracy integrity. due careful selection attributes, as well deployment colony data clustering, which decreased complexity eventually increased identification rate 100%. We demonstrate method achieves state-of-the-art performance our recommended procedures outperform existing systems.</span>