A Möbius transformation based model for fingerprint minutiae variations

作者：

Highlights：

• A unified model for describing different types of minutiae variations between fingerprint scans.

• The Mobius transformation renders a good candidate for modelling minutiae variations.

• The proposed model is mathematically proven and experimentally verified.

• The proposed model performs well over a public fingerprint database.

• A compact and effective model suitable for both rigid and non-rigid transformations.

摘要

•A unified model for describing different types of minutiae variations between fingerprint scans.•The Mobius transformation renders a good candidate for modelling minutiae variations.•The proposed model is mathematically proven and experimentally verified.•The proposed model performs well over a public fingerprint database.•A compact and effective model suitable for both rigid and non-rigid transformations.

论文关键词：Minutiae variations,Fingerprint pattern,Möbius transformation,Minutiae translation,Minutiae rotation,Non-linear distortion

论文评审过程：Received 6 March 2019, Revised 27 August 2019, Accepted 12 September 2019, Available online 13 September 2019, Version of Record 26 September 2019.

论文官网地址：https://doi.org/10.1016/j.patcog.2019.107054