Latent Fingerprint Matching: A Survey

被引：53
|
作者：
Sankaran, Anush [1 ]
Vatsa, Mayank [1 ]
Singh, Richa [1 ]
机构：
[1] Indraprastha Inst Informat Technol, New Delhi 110020, India
来源：
IEEE ACCESS | 2014年 / 2卷
关键词：
Fingerprint recognition; forensics; pattern recognition; image quality; image enhancement; feature extraction; RELIABILITY; INFORMATION; ALGORITHMS; BIOMETRICS; RIDGES; FUSION; PORES;
D O I：
10.1109/ACCESS.2014.2349879
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Latent fingerprint has been used as evidence in the court of law for over 100 years. However, even today, a completely automated latent fingerprint system has not been achieved. Researchers have identified several important challenges in latent fingerprint recognition: 1) low information content; 2) presence of background noise and nonlinear ridge distortion; 3) need for an established scientific procedure for matching latent fingerprints; and 4) lack of publicly available latent fingerprint databases. The process of automatic latent fingerprint matching is divided into five definite stages, and this paper discusses the existing algorithms, limitations, and future research directions in each of the stages.
引用
收藏
页码：982 / 1004
页数：23
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