Title :
Study the iris segmentation method for biometric pattern recognition
Author :
Raida, Hentati ; Boussellmi, Moncef ; Abid, Mohamed
Author_Institution :
Res. Unit CES, Nat. Sch. of Eng. of Sfax, Sfax, Tunisia
Abstract :
Several system require authenticating a person´s identity before giving access to resources. With new advances in technology, biometrics is one of the most promising techniques in recognition human. Biometrics intends to identify a person by his physical and/or behavioural characteristic. Among biometric technologies, iris recognition has received increasing attention due to its high reliability. Iris recognition is a biometric authentication technology that uses pattern recognition techniques based on iris characteristics. In this paper we propose a new biometric-based Iris segmentation system. The system acquires the biometric data in the data base CASIA version 1.0. The experimental results are compared to release the performances of our algorithms.
Keywords :
image segmentation; iris recognition; medical image processing; reliability; biometric authentication technology; biometric pattern recognition; data base CASIA version 1.0; human recognition; iris recognition; iris segmentation method; Eyelashes; Feature extraction; Image edge detection; Iris; Iris recognition; Noise; Transforms; Hough transform; biometric technique; iris; segmentation;
Conference_Titel :
Next Generation Networks and Services (NGNS), 2011 3rd International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-0138-1
DOI :
10.1109/NGNS.2011.6142547