In this paper, we study biometric key generation using face images. Given a face image, a set of biometric features are extracted. Each feature is compared with a threshold to generate a key-bit. By cascading the key-bits from all the features, we obtain one bio-key that can be used for security applications. The performance of a biometric key generation system, determined by the chosen thresholds, can be evaluated according to reliability and security. A generalized optimal thresholding method is proposed in this paper to improve the reliability by minimizing the authentication error rate and the security by maximizing the entropy of the generated key.


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    Title :

    Generalized optimal thresholding for biometric key generation using face images


    Contributors:
    Wende Zhang, (author) / Tsuhan Chen, (author)


    Publication date :

    2005-01-01


    Size :

    339978 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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