A Survey of 2D Face Recognition Techniques
Despite the existence of various biometric techniques, like fingerprints, iris scan, as well as hand geometry, the most efficient and more widely-used one is face recognition. This is because it is inexpensive, non-intrusive and natural. Therefore, researchers have developed dozens of face recogniti...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2016-09-01
|
| Series: | Computers |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2073-431X/5/4/21 |
| _version_ | 1828393805047398400 |
|---|---|
| author | Mejda Chihaoui Akram Elkefi Wajdi Bellil Chokri Ben Amar |
| author_facet | Mejda Chihaoui Akram Elkefi Wajdi Bellil Chokri Ben Amar |
| author_sort | Mejda Chihaoui |
| collection | DOAJ |
| description | Despite the existence of various biometric techniques, like fingerprints, iris scan, as well as hand geometry, the most efficient and more widely-used one is face recognition. This is because it is inexpensive, non-intrusive and natural. Therefore, researchers have developed dozens of face recognition techniques over the last few years. These techniques can generally be divided into three categories, based on the face data processing methodology. There are methods that use the entire face as input data for the proposed recognition system, methods that do not consider the whole face, but only some features or areas of the face and methods that use global and local face characteristics simultaneously. In this paper, we present an overview of some well-known methods in each of these categories. First, we expose the benefits of, as well as the challenges to the use of face recognition as a biometric tool. Then, we present a detailed survey of the well-known methods by expressing each method’s principle. After that, a comparison between the three categories of face recognition techniques is provided. Furthermore, the databases used in face recognition are mentioned, and some results of the applications of these methods on face recognition databases are presented. Finally, we highlight some new promising research directions that have recently appeared. |
| first_indexed | 2024-12-10T07:43:25Z |
| format | Article |
| id | doaj.art-7b5682f1ee2e4c089dba86e758a9fd1c |
| institution | Directory Open Access Journal |
| issn | 2073-431X |
| language | English |
| last_indexed | 2024-12-10T07:43:25Z |
| publishDate | 2016-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computers |
| spelling | doaj.art-7b5682f1ee2e4c089dba86e758a9fd1c2022-12-22T01:57:14ZengMDPI AGComputers2073-431X2016-09-01542110.3390/computers5040021computers5040021A Survey of 2D Face Recognition TechniquesMejda Chihaoui0Akram Elkefi1Wajdi Bellil2Chokri Ben Amar3REGIM: Research Groups on Intelligent Machines, University of Sfax, National School of Engineers (ENIS), Sfax 3038, TunisiaREGIM: Research Groups on Intelligent Machines, University of Sfax, National School of Engineers (ENIS), Sfax 3038, TunisiaREGIM: Research Groups on Intelligent Machines, University of Sfax, National School of Engineers (ENIS), Sfax 3038, TunisiaREGIM: Research Groups on Intelligent Machines, University of Sfax, National School of Engineers (ENIS), Sfax 3038, TunisiaDespite the existence of various biometric techniques, like fingerprints, iris scan, as well as hand geometry, the most efficient and more widely-used one is face recognition. This is because it is inexpensive, non-intrusive and natural. Therefore, researchers have developed dozens of face recognition techniques over the last few years. These techniques can generally be divided into three categories, based on the face data processing methodology. There are methods that use the entire face as input data for the proposed recognition system, methods that do not consider the whole face, but only some features or areas of the face and methods that use global and local face characteristics simultaneously. In this paper, we present an overview of some well-known methods in each of these categories. First, we expose the benefits of, as well as the challenges to the use of face recognition as a biometric tool. Then, we present a detailed survey of the well-known methods by expressing each method’s principle. After that, a comparison between the three categories of face recognition techniques is provided. Furthermore, the databases used in face recognition are mentioned, and some results of the applications of these methods on face recognition databases are presented. Finally, we highlight some new promising research directions that have recently appeared.http://www.mdpi.com/2073-431X/5/4/21biometricsface recognitionperson identification |
| spellingShingle | Mejda Chihaoui Akram Elkefi Wajdi Bellil Chokri Ben Amar A Survey of 2D Face Recognition Techniques Computers biometrics face recognition person identification |
| title | A Survey of 2D Face Recognition Techniques |
| title_full | A Survey of 2D Face Recognition Techniques |
| title_fullStr | A Survey of 2D Face Recognition Techniques |
| title_full_unstemmed | A Survey of 2D Face Recognition Techniques |
| title_short | A Survey of 2D Face Recognition Techniques |
| title_sort | survey of 2d face recognition techniques |
| topic | biometrics face recognition person identification |
| url | http://www.mdpi.com/2073-431X/5/4/21 |
| work_keys_str_mv | AT mejdachihaoui asurveyof2dfacerecognitiontechniques AT akramelkefi asurveyof2dfacerecognitiontechniques AT wajdibellil asurveyof2dfacerecognitiontechniques AT chokribenamar asurveyof2dfacerecognitiontechniques AT mejdachihaoui surveyof2dfacerecognitiontechniques AT akramelkefi surveyof2dfacerecognitiontechniques AT wajdibellil surveyof2dfacerecognitiontechniques AT chokribenamar surveyof2dfacerecognitiontechniques |