alexa Palm Print Feature Extraction Using Multi Scale Wavelet Edge Detection Method
ISSN ONLINE(2278-8875) PRINT (2320-3765)

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
Open Access

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Research Article

Palm Print Feature Extraction Using Multi Scale Wavelet Edge Detection Method

G. Seshikala1, Dr.Umakanth Kulkarni2, Dr.M.N. Giriprasad3
  1. Professor & Head, Department of ECE, AIT, Karnataka, India, seshikalabec@yahoo.co.in
  2. Professor, Department of CSE, SDMCET, Dharwad, India, upkulkarni@yahoo.com
  3. Professor & Head, Department of ECE, J.N.T.U, Andhra Pradesh, India,mahendrangp@rediffmail.com
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Abstract

Biometric identification using palm print is a reliable technology and has various advantages over other biometric traits. In this paper, the feature extraction of palm print is carried out using multi scale wavelet edge detection. The result and performance is compared with conventional edge detection techniques like Sobel and Canny methods. The experiment is carried out on a polyu database and from the analysis it is found that the performance of multiscale edge detection using wavelet is much superior to that of Sobel and Canny for palm print feature extraction

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