A Survey of 2D Face Recognition Techniques
| Autor: | Wajdi Bellil, Chokri Ben Amar, Mejda Chihaoui, Akram Elkefi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
biometrics
Biometrics Computer Networks and Communications Computer science Iris recognition 02 engineering and technology Machine learning computer.software_genre Facial recognition system lcsh:QA75.5-76.95 Object-class detection 0202 electrical engineering electronic engineering information engineering Three-dimensional face recognition Computer vision Face detection Hand geometry person identification business.industry 020207 software engineering Face Recognition Grand Challenge Human-Computer Interaction 020201 artificial intelligence & image processing Artificial intelligence lcsh:Electronic computers. Computer science business computer face recognition |
| Zdroj: | Computers, Vol 5, Iss 4, p 21 (2016) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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