Title :
Efficient iris recognition method for identification
Author :
Garg, Rajat ; Gupta, Vikrant ; Agrawal, Vineet
Author_Institution :
Dept. of Electron. & Commun., VIT- Univ., Vellore, India
Abstract :
In recent times the security has become a major issue of concern among the people. There is multifold increase in the installation and deployment of security services around the world. The threat starts when an unwanted person tries to obtain access to any place or value. In such a scenario the correct identification of the person is necessary so as to restrict the unidentified people from gaining access. Biometric details of a person offer the possibility of identifying the person very accurately. Iris identification is one such technique. This paper presents two different approaches for iris identification viz. template matching and average value method. Both the methods were tested on variety of images from the available database.Template matching is done using NI Vision Assistant 7.1 and NI LabVIEW 7.1. MATLAB 7.4 was used to implement average value method.
Keywords :
biometrics (access control); image matching; image recognition; security of data; MATLAB 7.4; NI LabVIEW 7.1; NI Vision Assistant 7.1; average value method; biometric; iris recognition method; security services; template matching; Biometrics; Flowcharts; Image databases; Image processing; Iris recognition; MATLAB; Pattern matching; Security; Testing; Waveguide discontinuities; Least distance method; Otsu´s rule; Pattern matching; biometrical control systems; image processing; iris recognition;
Conference_Titel :
Ultra Modern Telecommunications & Workshops, 2009. ICUMT '09. International Conference on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4244-3942-3
Electronic_ISBN :
978-1-4244-3941-6
DOI :
10.1109/ICUMT.2009.5345476