Fingerprint feature extraction by combining texture, minutiae, and frequency spectrum using multi-task CNN

Ai Takahashi, Yoshinori Koda, Koichi Ito, Takafumi Aoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Although most fingerprint matching methods utilize minutia points and/or texture of fingerprint images as fingerprint features, the frequency spectrum is also a useful feature since a fingerprint is composed of ridge patterns with its inherent frequency band. We propose a novel CNN-based method for extracting fingerprint features from texture, minutiae, and frequency spectrum. In order to extract effective texture features from local regions around the minutiae, the minutia attention module is introduced to the proposed method. We also propose new data augmentation methods, which takes into account the characteristics of fingerprint images to increase the number of images during training since we use only a public dataset in training, which includes a few fingerprint classes. Through a set of experiments using FVC2004 DB1 and DB2, we demonstrated that the proposed method exhibits the efficient performance on fingerprint verification compared with a commercial fingerprint matching software and the conventional method.

Original languageEnglish
Title of host publicationIJCB 2020 - IEEE/IAPR International Joint Conference on Biometrics
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728191867
DOIs
Publication statusPublished - 2020 Sep 28
Event2020 IEEE/IAPR International Joint Conference on Biometrics, IJCB 2020 - Virtual, Online, United States
Duration: 2020 Sep 282020 Oct 1

Publication series

NameIJCB 2020 - IEEE/IAPR International Joint Conference on Biometrics

Conference

Conference2020 IEEE/IAPR International Joint Conference on Biometrics, IJCB 2020
CountryUnited States
CityVirtual, Online
Period20/9/2820/10/1

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Instrumentation

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