Individual Identification in Facial Appearance Biometrics Based on Macroscopical Comparison.
10.12116/j.issn.1004-5619.2020.200909
- Author:
De-Min HUO
1
;
Wei-Wei MO
2
;
Fei-Ming ZHAO
3
;
Zi-Hao ZHOU
4
;
Meng DU
1
;
Ji-Long ZHENG
5
;
Kai-Jun MA
6
Author Information
1. Institute of Criminal Science and Technology, Jiading Branch of Shanghai Public Security Bureau, Shanghai 201822, China.
2. School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai 201424, China.
3. School of Maritime Economics and Management of Dalian Maritime University, Dalian 116026, Liaoning Province, China.
4. Beijing Entry-Exit Border Checkpoint, Beijing 100741, China.
5. Academy of Forensic Science, Criminal Investigation Police University of China, Shenyang 110854, China.
6. Institute of Forensic Science, Shanghai Public Security Bureau, Shanghai 200083, China.
- Publication Type:Review
- Keywords:
biometric recognition;
facial characteristics;
forensic medicine;
individual identification;
macroscopical comparison;
review
- MeSH:
Biometric Identification;
Biometry/methods*;
Face/anatomy & histology*;
Forensic Sciences/methods*;
Humans
- From:
Journal of Forensic Medicine
2022;38(3):308-313
- CountryChina
- Language:English
-
Abstract:
Individual identification is one of the research hotspots in the practice of forensic science, and the judgment is usually built on the comparison of the unique biological characteristics of the individual, such as fingerprints, iris and DNA. With the dramatic increase in the number of cases related to video image investigations, there is an increasing need for the technology to identify individuals based on the macroscopic comparison of facial appearance biometrics. At present, with the introduction of computer three-dimensional (3D) modeling and 3D superimposition comparison technology, considerable progress has been made in individual identification methods based on macroscopic comparison of facial appearance biometrics. This paper reviews individual facial appearance biometric methods based on macroscopical comparison, comprehensively analyzes the advantages and limitations of different methods, and puts forward recommendations and prospects for subsequent research.
