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Processing the Shadow of a Hand Image

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In the field of the personal authentication system, types of hands are popularly used to certificate the identity of a person. There is an important part in the hand-shape recognition system. That is how to take the photographs of hands. Whether you use a camera or a scanner to take a photograph, there exist some shadow parts around a hand image. As for this part, to judge whether the shadow is true or it is just the hand plays an important role to improve the recognition rate. Actually if we can judge the range of the shadow of the hand image clearly we can raise the probability of the certification. In this paper we focus on the shadow part of hand images. We propose some algorithm to convert an original image into a better image to handle the hand-shape. Firstly, we make the convert the input color image into a grayscale image, then we extract the outline by using Fourier transform, and the true outline of the hand will be determined. Now the recognition methods using biometrics are spread in the world, we believe our project of processing the shadow part will be useful to the recognition system.

Document Type: Research Article

Publication date: January 1, 2007

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  • For more than 25 years, NIP has been the leading forum for discussion of advances and new directions in non-impact and digital printing technologies. A comprehensive, industry-wide conference, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems, including drop-on-demand ink jet, wide format ink jet, desktop and continuous ink jet, toner-based electrophotographic printers, production digital printing systems, and thermal printing systems, as well as the engineering capability, optimization, and science involved in these fields.

    Since 2005, NIP has been held in conjunction with the Digital Fabrication Conference.
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