A proposed first approach of a novel and simple biometric verification system based on the texture of the hand knuckles. A knuckle image with scale, rotation, and translation invariance is isolated from the hand recorded image with digital image processing techniques. The wrinkle of the knuckle images are extracted to a black and white image which is used as biometric features. A hidden Markov model and a support vector machine are proposed as verifiers. A similar equal error We of 0.094 is reached by both classifiers with our preliminary database consisting of 8 samples of 20 people's hands


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    Title :

    Using hand knuckle texture for biometric identifications


    Contributors:


    Publication date :

    2006-06-01


    Size :

    862493 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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