Two-stage quality adaptive fingerprint image enhancement using Fuzzy C-means clustering based fingerprint quality analysis

作者：

Highlights：

• Quality features are used for fingerprint quality estimation.

• Feature selection using a statistical test-based method

• Quality adaptive enhancement of fingerprint images

• Superior results as compared with other state-of-the-art fingerprint enhancement algorithms

摘要

•Quality features are used for fingerprint quality estimation.•Feature selection using a statistical test-based method•Quality adaptive enhancement of fingerprint images•Superior results as compared with other state-of-the-art fingerprint enhancement algorithms

论文关键词：Biometrics,Fingerprint image quality,Fuzzy C-means clustering,Fingerprint image enhancement,Fingerprint matching

论文评审过程：Received 23 February 2018, Revised 11 December 2018, Accepted 21 February 2019, Available online 9 March 2019, Version of Record 29 March 2019.

论文官网地址：https://doi.org/10.1016/j.imavis.2019.02.006