Deakin University
Browse

The minutiae based latent fingerprint recognition system

Version 2 2024-06-05, 06:28
Version 1 2019-11-27, 09:27
conference contribution
posted on 2024-06-05, 06:28 authored by SB Ahmed, Imran Razzak, B Alhaqbani
© 2016 ACM. The emergence in the field of fingerprint recognition witness several efficient techniques that propose matching and recognition in less time. The latent fingerprints posed a challenge for such efficient techniques that may deviates results from ideal to worse. The minutiae are considered as a discriminative feature of finger patterns which is assessed in almost every technique for recognition purpose. But in latent patterns such minutiae may be missed or may have contaminated noise. In this paper, we presents such work that demonstrate the solution for latent fingerprints recognition but in ideal time. We also gathered the description about the techniques that have been evaluated on standard NIST Special Dataset (SD)27 of latent fingerprint.

History

Volume

March-2016

Location

Cambridge, England

Start date

2016-03-22

End date

2016-03-23

ISBN-13

9781450340632

Language

eng

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

Proceedings of the 2016 International Conference on Internet of things and Cloud Computing

Event

Internet of things and Cloud Computing. International Conference ( 2016 : Cambridge, England)

Publisher

ACM

Place of publication

New York, N.Y.

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC