Abstract
As an emerging biometric technology,palmprint recognition has recently received considerable research interest.Because of its low-price capture device,fast execution speed,and high verification accuracy,palmprint recognition is very competitive in biometric research and is expected to have a wide range of security applications.This paper first introduces the characteristics of the palmprint,the acquisition and the preprocessing method for palmprint image,and then presents a survey of the palmprint recognition algorithms.According to different feature extraction and matching approaches,we roughly group these algorithms into four categories:structure based,statistics based,subspace based and coding based methods.After surveying and comparing these algorithms in each category,we conclude this paper with a discussion of future trends.
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