A Survey of Palmprint Feature Extraction Algorithms

As an emerging biometric technology, palmprint recognition technology has been researched widely and developed rapidly, which is well known for its high verification accuracy, low-price capture device, high reliability and user acceptance. Feature extraction as a core part of palmprint recognition,...

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Bibliographic Details
Published in2013 Fourth International Conference on Intelligent Systems Design and Engineering Applications pp. 57 - 63
Main Authors Peng Xinrong, Tian Yangmeng, Wang Jiaqiang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2013
Subjects
Algorithm design and analysis
Feature extraction
Gabor filters
highway network
Principal component analysis
software
structrual optimization
trimedia
Vectors
Wavelet transforms
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DOI10.1109/ISDEA.2013.420

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Summary:As an emerging biometric technology, palmprint recognition technology has been researched widely and developed rapidly, which is well known for its high verification accuracy, low-price capture device, high reliability and user acceptance. Feature extraction as a core part of palmprint recognition, can effectively extract the characteristics or not, largely determines the system recognition rate. Reviewing current feature extraction research, we roughly group the palmprint feature extraction algorithms into four categories: structure-based, statistics-based, subspace-based and texture & transform domain feature based methods. The purpose of this paper is to provide an updated survey of palmprint feature extraction. After analyzing the state-of-the-art methods, the performance of various methods was compared and the future tendency was also discussed.
DOI:10.1109/ISDEA.2013.420