University of Bahrain
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Comparative Study of Various Techniques of Fingerprint Recognition Systems

Show simple item record Ahmed, Hany Hashem Kelash, Hamdy M. Tolba, Maha S. ELRashidy, Mohammed A. . 2018-07-31T08:44:58Z 2018-07-31T08:44:58Z 2015
dc.identifier.issn 2210-1519
dc.description.abstract Nowadays Biometric plays vital role in many applications. It is defined as the credentials of people based on their physiological or behavioral characteristics. Biometric recognition can be classified into various types they are fingerprint, face, iris, palm print, voice, and DNA recognition. Among these fingerprint recognition plays major role since it do not change due to age factors, bruises cut, weather factor and so on. Various matching techniques used for fingerprint recognition systems such as minutiae based matching, pattern based matching, Correlation based matching, and image based matching. This paper focuses on features extraction and minutiae matching stage. Two fingerprint recognition regimes have been developed based on minutiae matching, the first one is: Artificial Neural Network based on Minutiae Distance Vector (ANN-MDV), while the other one is: Artificial Neural Network based on Principle Component Analysis (ANN-PCA). It is observed that the recognition rate is increased and return better results. A comparative study among the various recognition systems is done based on Average Recognition Time (ART), False Acceptance Rate (FAR), False Rejection Rate (FRR), and the accuracy of the system. The experimental results are done on FVC2002 database using Matlab 7.10.0 (R2010a). The results show that the ANN-PCA system has the highest system accuracy (98%), lowest FAR, lowest FRR, and acceptable average recognition time. Therefore ANN-PCA is the best recognition system. Also the experimental results show that ANN-MDV system has shortest ART (0.251). en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-ShareAlike 4.0 International *
dc.rights.uri *
dc.subject Fingerprint Recognition
dc.subject image enhancement
dc.subject FDCT
dc.subject MDV
dc.subject ANN
dc.subject BPN
dc.subject PCA
dc.subject FRR
dc.subject FAR
dc.subject ART
dc.title Comparative Study of Various Techniques of Fingerprint Recognition Systems en_US
dc.type Article en_US
dc.volume 03
dc.issue 03
dc.source.title International Journal of Computing and Network Technology
dc.abbreviatedsourcetitle IJCNT

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