Palmprint identification using wavelet energy

K., Y.E. Wong and Sainarayanan , Gopala and Ali Chekima, (2007) Palmprint identification using wavelet energy. In: 2007 International Conference on Intelligent and Advanced Systems (ICIAS 2007), 25-28 November 2007, Kuala Lumpur, Malaysia.

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1109/ICIAS.2007.4658480

Abstract

Palmprint Identification is the means of recognizing an individual from the database using his/ her palmprint features. Palmprint is easy to capture, requires cheaper equipment and is more acceptable by the public. Moreover, palmprint is also rich in features. Wavelet transform is a multi-resolution analysis tool that can extract palm lines in different resolution levels. In low-resolution level, fine palm lines are extracted. The higher the resolution level, the coarser are the extracted palm lines. In this work, a digital camera is used to acquire the ten right hand image of 100 different individuals. The hand images are pre-processed to find the key points. By referring to the key point, the palmprint images are rotated and cropped. The palmprint images are enhanced and resized. The resized images are decomposed using different types of wavelets for six decomposition levels. Two different wavelet energy representations are tested. The feature vectors are compared to the database using Euclidean Distance or classified using feedforward backpropagation neural network. From the results, an accuracy of 99.07 percent can be obtained using Db5 wavelet energy feature type 2 and classified with neural network. ©2007 IEEE.

Item Type:Conference Paper (UNSPECIFIED)
Uncontrolled Keywords:Cameras Database systems, Image enhancement, Neural networks, Wavelet transforms,Decomposition levels, Different wavelets, Euclidean, Feature vectors, Feedforward backpropagation neural networks, Hand images, Multi-resolution analysis, Palm lines, Palm prints, Palmprint identifications, Palmprint images, Resolution levels, Right hands, Wavelet energies, Wavelet energy features, Anthropometry
Subjects:?? TK7800-8360 ??
Divisions:SCHOOL > School of Engineering and Information Technology
ID Code:2794
Deposited By:IR Admin
Deposited On:21 Apr 2011 17:47
Last Modified:29 Dec 2014 16:36

Repository Staff Only: item control page


Browse Repository
Collection
   Articles
   Book
   Speeches
   Thesis
   UMS News
Search
Quick Search

   Latest Repository

Link to other Malaysia University Institutional Repository

Malaysia University Institutional Repository