DocumentCode :
2622573
Title :
Fingerprint Verification Based on Statistical Analysis
Author :
Khalil, Mohammed S. ; Muhammad, Dzulkifli ; Khan, Muhammad Khurram ; Alghathbar, Khaled
Author_Institution :
Dept. of Comput. Graphics & Multimedia, Univ. Teknol. Malaysia, Skudai, Malaysia
fYear :
2010
fDate :
21-23 May 2010
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we have statistically analyzed biometric-fingerprint images for personal identification. A sub-image of 129 × 129 was extracted from the original image and transformed into a co-occurrence matrix. Four different type of relative position distances were used to generate the matrices. The results have been analyzed by the Program for Rate Estimation and Statistical Summaries (PRESS). The efficiency of the proposed method has been demonstrated by the experimental results and that the further the distances of the relative position the lower the error equal rate.
Keywords :
feature extraction; fingerprint identification; matrix algebra; statistical analysis; biometric-fingerprint images; fingerprint verification; program for rate estimation and statistical summaries; relative position distance; statistical analysis; sub-image extraction; Biometrics; Computer graphics; Data mining; Feature extraction; Fingerprint recognition; Humans; Image analysis; Image matching; Image texture analysis; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Information Technology (FutureTech), 2010 5th International Conference on
Conference_Location :
Busan
Print_ISBN :
978-1-4244-6948-2
Type :
conf
DOI :
10.1109/FUTURETECH.2010.5482771
Filename :
5482771
Link To Document :
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