Research Of Minutia Extraction In Fingerprint

Fingerprint identification is one of the most important biometric technology which has been paid amount of attention.It is the significant part of individual authentication in the future.Studies on the theory and application of fingerprint recognition have significant meanings both in theory and application.Most automatic fingerprint identification systems compareison are based on minutia matching.Therefore,minutia extraction is a very crucial process in fingerprint identification system.Although algorithm of fingerprint recognition have larger development at home and abroad, But generally there are still some problems.For example, high complexity ,slow computing speed and so on. So it is necessary to research a better algorithm of minutia extraction to improve the accuracy,complexity and computing speed.In the thesis we focus on the minutia extraction and minutia mark.Firstly,aiming at a large number of low-quality fingerprint image hat exists in the fingerprint image,lead to low rate of identification.This paper presentsa method of pre-processing include fingerprint segmentation,binarization,th- inning and so on, it can improve the quality of fingerprint images effectively.The simulation results have testified the validity of the algorithm.Secondly,the traditional extracting methods of minutia of fingerprint are also time-consuming and a lot of information may be lost.Aiming at this problem,this paper presents a method of minutia extraction which is based on tracing fingerprint ridges.The core idea of this method is seeking end minutia and bifurcation minutia by tracing ridges on the pre-processing fingerprint image,but there are a lot of false minutiaes included in them.So according to analyse the characteristic of the false minutiaes,a set of algorithms for eliminate the false minutia is proposed.Experiment results indicate that these proposed algorithms extracte the minutia more accurately.Finally,aiming at the long time of fingerprint matching,the paper study a method to extract the core,personal view is presented by comparing the two algorithms and can ascertain the relative position of the minutia in the coordinate which consists of core and directions.It can improve the matching accuracy and matching speed effectively.Experiments show that the algorithms are better both in terms of efficiency and accuracy,and has practical value.