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A novel pore extraction method for heterogeneous fingerprint images using Convolutional Neural Networks

  • Published:2018-10 Issue: Volume:113 Page:58-66
  • ISSN:0167-8655
  • Container-title:Pattern Recognition Letters
  • language:en
  • Short-container-title:Pattern Recognition Letters

Author:

Donida Labati Ruggero,Genovese AngeloORCID,Muñoz Enrique,Piuri Vincenzo,Scotti Fabio

Funder

European Commission

Horizon 2020 Framework Programme

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference53 articles.

1. Towards integrating level-3 features with perspiration pattern for robust fingerprint recognition;Abhyankar,2010

2. A hybrid partial fingerprint matching algorithm for estimation of Equal Error Rate;Agrawal,2014

3. Dots and incipients: extended features for partial fingerprint matching;Chen,2007

4. Fingerprint pore matching method using polar histogram;Cui,2014

5. On adaptive fingerprint pore extraction;Da Silva Teixeira,2013

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