Abstract
In order to effectively reduce the running time of fingerprint feature data matching algorithm and improve the matching accuracy. This paper designs and proposes a fingerprint feature data equivalent matching algorithm based on distributed computing. In the process of de-counterfeiting, the method of combining distance de-counterfeiting with structure de-counterfeiting is adopted. The information of minutiae feature points for subsequent matching, sampling information of corresponding ridge and direction of minutiae points are obtained by ridge tracking method. On this basis, use the fingerprint matching algorithm based on the congruent triangle to match the extracted minutiae feature points, so as to achieve the purpose of matching fingerprint feature data equally. The simulation results show that the proposed algorithm can effectively reduce the running time and improve the matching accuracy, which fully verifies the practical application value of the algorithm.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Ambient Intelligence and Humanized Computing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
