PMID- 32369515
OWN - NLM
STAT- MEDLINE
DCOM- 20200730
LR  - 20200730
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 15
IP  - 5
DP  - 2020
TI  - Constrained unsteady-state iris fast certification for lightweight training 
      samples based on the scale change stable feature and multi-algorithm voting.
PG  - e0232319
LID - 10.1371/journal.pone.0232319 [doi]
LID - e0232319
AB  - Aiming at the problem of fast certification for a constrained iris in the same 
      category caused by the unstable iris features caused by the change of the iris 
      acquisition environment and shooting status under lightweight training samples, a 
      one-to-one fast certification algorithm for constrained unsteady-state iris based 
      on the scale change stable feature and multi-algorithm voting is proposed. Scale 
      change stable features are found by constructing an isometric differential 
      Gaussian space, and a local binary pattern algorithm with extended statistics 
      (ES-LBP), the Haar wavelet with over threshold detection and the Gabor filter 
      algorithm with immune particle swarm optimization (IPSO) are used to represent 
      the stable features as binary feature codes. Iris certification is performed by 
      the Hamming distance. According to the certification results of three algorithms, 
      the final result is obtained by multi-algorithm voting. Experiments with the JLU 
      and CASIA iris libraries under the iris prerequisite conditions show that the 
      correct recognition rate of this algorithm can reach a high level of 98% or more, 
      indicating that this algorithm can improve the operation speed, accuracy and 
      robustness of certification.
FAU - Liu, Shuai
AU  - Liu S
AUID- ORCID: 0000-0003-1337-6034
AD  - College of Computer Science and Technology, Jilin University, Changchun, China.
AD  - Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of 
      Education, Jilin University, Changchun, China.
FAU - Liu, Yuanning
AU  - Liu Y
AD  - College of Computer Science and Technology, Jilin University, Changchun, China.
AD  - Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of 
      Education, Jilin University, Changchun, China.
FAU - Zhu, Xiaodong
AU  - Zhu X
AD  - College of Computer Science and Technology, Jilin University, Changchun, China.
AD  - Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of 
      Education, Jilin University, Changchun, China.
FAU - Cui, Jingwei
AU  - Cui J
AD  - Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of 
      Education, Jilin University, Changchun, China.
AD  - College of Software, Jilin University, Changchun, China.
FAU - Zhang, Qixian
AU  - Zhang Q
AD  - Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of 
      Education, Jilin University, Changchun, China.
AD  - College of Software, Jilin University, Changchun, China.
FAU - Ding, Tong
AU  - Ding T
AD  - Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of 
      Education, Jilin University, Changchun, China.
AD  - College of Software, Jilin University, Changchun, China.
FAU - Zhang, Kuo
AU  - Zhang K
AD  - College of Computer Science and Technology, Jilin University, Changchun, China.
AD  - Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of 
      Education, Jilin University, Changchun, China.
FAU - Wu, Zukang
AU  - Wu Z
AD  - College of Computer Science and Technology, Jilin University, Changchun, China.
AD  - Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of 
      Education, Jilin University, Changchun, China.
FAU - Yang, Yanan
AU  - Yang Y
AD  - College of Computer Science and Technology, Jilin University, Changchun, China.
AD  - Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of 
      Education, Jilin University, Changchun, China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20200505
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
SB  - IM
MH  - *Algorithms
MH  - Biometric Identification/*methods
MH  - Humans
MH  - Image Processing, Computer-Assisted/methods
MH  - *Iris
MH  - Pattern Recognition, Automated/*methods
PMC - PMC7200019
COIS- The authors have declared that no competing interests exist.
EDAT- 2020/05/06 06:00
MHDA- 2020/07/31 06:00
PMCR- 2020/05/05
CRDT- 2020/05/06 06:00
PHST- 2019/07/27 00:00 [received]
PHST- 2020/04/14 00:00 [accepted]
PHST- 2020/05/06 06:00 [entrez]
PHST- 2020/05/06 06:00 [pubmed]
PHST- 2020/07/31 06:00 [medline]
PHST- 2020/05/05 00:00 [pmc-release]
AID - PONE-D-19-19634 [pii]
AID - 10.1371/journal.pone.0232319 [doi]
PST - epublish
SO  - PLoS One. 2020 May 5;15(5):e0232319. doi: 10.1371/journal.pone.0232319. 
      eCollection 2020.