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

Ai Takahashi, Yoshinori Koda, Koichi Ito, Takafumi Aoki

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルIJCB 2020 - IEEE/IAPR International Joint Conference on Biometrics
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728191867
DOI
出版ステータスPublished - 2020 9 28
イベント2020 IEEE/IAPR International Joint Conference on Biometrics, IJCB 2020 - Virtual, Online, United States
継続期間: 2020 9 282020 10 1

出版物シリーズ

名前IJCB 2020 - IEEE/IAPR International Joint Conference on Biometrics

Conference

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

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識
  • 生体医工学
  • 器械工学

フィンガープリント

「Fingerprint feature extraction by combining texture, minutiae, and frequency spectrum using multi-task CNN」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル