PROMOTING ACCESS TO AFRICAN RESEARCH

Nigerian Journal of Technology

The AJOL site is currently undergoing a major upgrade, and there will temporarily be some restrictions to the available functionality.
-- Users will not be able to register or log in during this period.
-- Full text (PDF) downloads of Open Access journal articles will be available as always.
-- Full text (PDF) downloads of subscription based journal articles will NOT be available
We apologise for any inconvenience caused. Please check back soon, as we will revert to usual policy as soon as possible.





Image Processing and Features Extraction of Fingerprint Images

ON Iloanusi, CC Osuagwu

Abstract


Several fingerprint matching algorithms have been developed for minutiae or template matching of fingerprint templates. The efficiency of these fingerprint matching algorithms depends on the success of the image processing and features extraction steps employed. Fingerprint image processing and analysis is hence an essential step to the efficient matching and classification of fingerprint features. To demonstrate the importance of the image processing of fingerprint images prior to image enrolment or comparison, the set of fingerprint images in databases (a) and (b) of the FVC (Fingerprint Verification Competition) 2000 database were analyzed using a features extraction algorithm. This paper presents the results of the features extraction of the datasets of the FVC 2000 database. It also discusses the limitations of the FVC database and recommends what can be done to improve proprietary databases.



AJOL African Journals Online