Processing the Shadow Part in Digital Images
In the field of 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 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 part of 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 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. After extracting the profile correctly, we will be able to certificate the identity of a person by using the characteristics of the hand, for example the length of each finger. Now the recognition methods using biometrics are spread in the world, we believe our project of processing the shadow part will be tuneful to the recognition system.
Ping Lu Shigeru Kitakubo
Dept. of System, Nippon Institute of Technology, Japan
国际会议
第六届影像科学与硬拷贝技术国际会议(ICISH08)(The 6th International Conference on Imaging Science and Hardcopy)
广东湛江
英文
264-265
2008-01-10（万方平台首次上网日期，不代表论文的发表时间）