Abstract
A practical method for a non-contacting and real-time authentication is proposed. The finger geometry and feature extraction of the palmar flexion creases are integrated into a small number of discrete points. For a video image of either palm, a palm placed freely facing toward a video camera is acquired. The fingers are brought together and the palm is straightened out without any constraints. The discrete feature points involve intersection points of the three finger (digital) flexion creases on the four finger skeletal lines and the intersection points of the major palmar flexion creases or prominent creases on the extended finger skeletal lines and the orientations of the creases at the points. The matching so far results are perfect for about 500 palm samples from 50 subjects. This discrete point processing, requiring no time-consumptive palm print image analysis and requiring less than one second processing time, will contribute to a non-contacting, real-time and reliable authentication.
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