Fingerprint matching,spoof and liveness detection:classification and literature review

作     者：Syed Farooq ALI Muhammad Aamir KHAN Ahmed Sohail ASLAM Syed Farooq ALI;Muhammad Aamir KHAN;Ahmed Sohail ASLAM

作者机构：Department of Software EngineeringUniversity of Management and TechnologyLahore 54770Pakistan Department of Informatics and SystemsUniversity of Management and TechnologyLahore 54770Pakistan Department of Computer ScienceUniversity of Management and TechnologyLahore 54770Pakistan 

出 版 物：《Frontiers of Computer Science》 (中国计算机科学前沿（英文版）)

年 卷 期：2021年第15卷第1期

页      面：179-196页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported by the National ICT R&D(NICTRDF/NGIRI/2012-13/Corsp/3) University of Management&Technology,Pakistan 

主　　题：computer society template matching fingerprint recognition survey deep learning machine learning 

摘      要：Fingerprint matching,spoof mitigation and liveness detection are the trendiest biometric techniques,mostly because of their stability through life,uniqueness and their least risk of *** recent decade,several techniques are presented to address these challenges over well-known *** study provides a comprehensive review on the fingerprint algorithms and techniques which have been published in the last few *** divides the research on fingerprint into nine different approaches including feature based,fuzzy logic,holistic,image enhancement,latent,conventional machine learning,deep learning,template matching and miscellaneous *** these,deep learning approach has outperformed other approaches and gained significant attention for future *** reviewing fingerprint literature,it is historically divided into four eras based on 106 referred papers and their cumulative citations.