A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal
作者：
Highlights：
• An experimental study of feature extraction and classification methods is developed.
• Selected methods are based on their relevance and on the first part of this paper.
• Which are the best methods for the different case studies are sought.
• Several methods are implemented from scratch and shared in the associated web-page.
• A new ensemble model combining different feature extractors is presented.
摘要
•An experimental study of feature extraction and classification methods is developed.•Selected methods are based on their relevance and on the first part of this paper.•Which are the best methods for the different case studies are sought.•Several methods are implemented from scratch and shared in the associated web-page.•A new ensemble model combining different feature extractors is presented.
论文关键词：Fingerprint classification,Feature extraction,Classification,Fingerprint recognition,SVM,Neural networks,Ensembles,Orientation map,Singular points,Experimental evaluation
论文评审过程：Received 7 October 2014, Revised 10 January 2015, Accepted 8 February 2015, Available online 23 February 2015.
论文官网地址：https://doi.org/10.1016/j.knosys.2015.02.015
