@article{MAKHILLAJIT2006595195,
    title = {An Effective Iris Identification System Using Segmentation and Hough Transform},
    journal = {Asian Journal of Information Technology},
    volume = {5},
    number = {9},
    pages = {944-950},
    year = {2006},
    issn = {1682-3915},
    doi = {ajit.2006.944.950},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2006.944.950},
    author = {Lahcene Ziet,Djahli Farid and},
    keywords = {Wavelets,texture,iris recognition,identification,emergent frequency,segmentation,security},
    abstract = {This study presents an iris identification system  composed of an automatic segmentation mechanism  which is based on Hough transform to locate the circular area of iris and the pupil. The area extracted from iris is then standardized in a rectangular block with constant dimensions. The instantaneous phase and the emergent frequency were used for the extraction and the coding of the single model of the iris in a biometric gauge to display  it in the form of code bars. The Hamming distance  was used to compare the binary code already recorded to decide on the  dissension or the agreement between these code compared code .}
    }