We describe and analyze the performance of a non-ideal iris recognition system. The system is designed to process non-ideal iris images in two steps: (i) estimation of the gaze direction and (ii) processing and encoding of the rotated iris image. We use two objective functions to estimate the gaze direction: Hamming distance and Daugman's integro-differential operator and determine an estimated angle by picking the value that optimizes the selected objective function. After the angle is estimated, the off-angle iris image undergoes geometric transformations involving the estimated angle and is further processed as if it were a frontal view image. The encoding technique developed in this work is based on application of the global independent component analysis (ICA) to masked iris images. We use two datasets: CASIA dataset and a special dataset of off-angle iris images collected at WVU to verify the performance of the encoding technique and angle estimator, respectively. A series of receiver operating characteristics (ROCs) demonstrates various effects on the performance of the non-ideal iris based recognition system implementing the global ICA encoding.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Performance evaluation of non-ideal iris based recognition system implementing global ICA encoding


    Contributors:
    Dorairaj, V. (author) / Schmid, N.A. (author) / Fahmy, G. (author)


    Publication date :

    2005-01-01


    Size :

    176144 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Performance Evaluation of Non-Ideal Iris Based Recognition System Implementing Global ICA Encoding

    Dorairaj, V. / Schmid, N. A. / Fahmy, G. | British Library Conference Proceedings | 2005


    Experimental Evaluation of Iris Recognition

    Xiaomei Liu, / Bowyer, K.W. / Flynn, P.J. | IEEE | 2005


    A new iris segmentation method for non-ideal iris images

    Jeong, D. S. / Hwang, J. W. / Kang, B. J. et al. | British Library Online Contents | 2010


    Alcohol interlock system based iris recognition

    LEE HENG SUK / RYU HYUN KI / MOON CHANG SOO et al. | European Patent Office | 2017

    Free access

    Iris recognition technology

    Williams, G.O. | IEEE | 1997