Title :
An embedded system for iris recognition
Author :
Hentati, Raida ; Bousselmi, Moncef ; Abid, Mohamed
Author_Institution :
Res. Unit CES, Nat. Sch. of Eng. of Sfax, Sfax, Tunisia
Abstract :
Several systems 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 human recognition. Biometrics intends to identify a person by his physical and/or behavioural characteristics. This paper presents an approach for human authentication based on iris texture analysis. In this paper, we present a HW/SW implementation algorithm for detection and localisation of iris based on shape properties. The designed system has been implemented in a CYCLONE II DE2 Board using the NIOS II processor which is characterized by its flexibility and programmability. The data base CASIA version 1.0 is used for the test. The experimental results of the approach show the performance of our algorithms.
Keywords :
embedded systems; eye; image processing equipment; image texture; iris recognition; CASIA version 1.0 database; CYCLONE II DE2 board; HW-SW implementation algorithm; NIOS II processor; biometrics; embedded system; human recognition; iris detection; iris localisation; iris recognition; iris shape properties; iris texture analysis; Authentication; Biometrics; Embedded system; Field programmable gate arrays; Fingerprint recognition; Hardware; Humans; Iris recognition; Random access memory; Wavelet packets; FPGA; Hough transform; Nios-II; biometric; data base CASIA; iris;
Conference_Titel :
Design and Technology of Integrated Systems in Nanoscale Era (DTIS), 2010 5th International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4244-6338-1
DOI :
10.1109/DTIS.2010.5487592
