Preprocessing of Palm Image Based on Wavelet Modulus Maximum Value
Authentication technology based on geometric characteristics of hand image has the advantages of high speed and easy operation. So handkey becomes another biological characteristics authentication system as fingerprint key. Palm image preprocessing is the basic of hand shape recognition system. Denoising is a necessary preprocessing before edge detection of palm image. The paper introduces a denoising method, wavelet modulus maximum value method. The wavelet transforming has the advantage of multi-resolution either in time domain or in frequency domain, so it can be used to describe the partial characteristics in the both domain. Wavelet denoising is a more successful kind of application of wavelet transforming. Because of the multi-resolution of wavelet, the non-steady characteristics of signals can be described better. The principle and processing steps of the algorithm are described in this paper in details. Experiments show that the method not only can remove noise effectively, but also keeps edge details of the hand image. The preprocessing program designed in MATLAB is listed in the paper, the original hand image and edge detect image after wavelet denoising are shown,too.
Palm image image denoising wavelet modulus maximum value
Dong Jingwei Sun Yan Huang Yaping Hu Silue
School of Measure-control Technology & Communication Engineering,Harbin University of Science & Tech Engineering Department,Harbin University,Harbin 150080,China School of Measure-control Technology & Communication Engineering,Harbin University of Science & Tech
国际会议
2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)
成都
英文
952-956
2011-08-16（万方平台首次上网日期，不代表论文的发表时间）