@article {10.3844/ajassp.2016.962.968,
article_type = {journal},
title = {Iris Recognition Using Gauss Laplace Filter},
author = {Mansour, Romany F.},
volume = {13},
year = {2016},
month = {Sep},
pages = {962-968},
doi = {10.3844/ajassp.2016.962.968},
url = {https://thescipub.com/abstract/ajassp.2016.962.968},
abstract = {Biometrics deals with recognition of individuals based on their behavioral or biological features. The recognition of IRIS is one of the newer techniques of biometrics used for personal identification. It is one of the most widely used and reliable technique of biometrics. In this study a novel approach is presented for IRIS recognition. The proposed approach uses Gauss Laplace filter to recognize IRIS. The proposed approach decreases noise to the maximum extent possible, retrieves essential characteristics from image and matches those characteristics with data in a database. This method will be effective and simple and can be implemented in real time. The experiments are carried out using the images of IRIS acquired from a database and MATLAB application has been applied for its effective and simple manipulation of IRIS image. It was observed that developed approach has more accuracy and a relatively quicker time of execution than that of the existing approaches.},
journal = {American Journal of Applied Sciences},
publisher = {Science Publications}
}