Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/34706
Title: Palmprint identification by Fourier transform
Authors: Li, W
Zhang, D 
Xu, Z
Keywords: Palmprint
Personal identification
Biometrics
Fourier transform
Feature extraction
Issue Date: 2002
Publisher: World Scientific Publishing
Source: International journal of pattern recognition and artificial intelligence, 2002, v. 16, no. 4, p. 417-432 How to cite?
Journal: International journal of pattern recognition and artificial intelligence
Abstract: Palmprint identification refers to searching in a database for the palmprint template, which is from the same palm as a given palmprint input. The identification process involves preprocessing, feature extraction, feature matching and decision-making. As a key step in the process, in this paper, we propose a new feature extraction method by converting a palmprint image from a spatial domain to a frequency domain using Fourier Transform. The features extracted in the frequency domain are used as indexes to the palmprint templates in the database and the searching process for the best match is conducted by a layered fashion. The experimental results show that palmprint identification based on feature extraction in the frequency domain is effective in terms of accuracy and efficiency.
URI: http://hdl.handle.net/10397/34706
ISSN: 0218-0014 (print)
1793-6381 (online)
DOI: 10.1142/S0218001402001757
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