Semantic Scholar Open Access 2018 572 sitasi

Face Recognition

F. Tsalakanidou S. Malassiotis M. Strintzis

Abstrak

Face recognition technology is a biometric technology that uses a person's face traits to identify them. Face photos are collected by people, and the recognition technology processes them automatically. The study introduces related face recognition research from severalangles. The paper discusses the stages of facial recognition development and related technologies. We discuss face recognition research in real- world scenarios, as well as general evaluation standards and face recognition databases.We take a look at facial recognition from the future. Face recognition has emergedas a promising future development direction with numerous possible applications. Nowadays, face recognition is one of the most advanced computer vision technologies. In computer vision, illumination, and other fields, face recognition is always a difficult issue. facial expression, posture Face recognition keeps track of the objects that are being tracked.in video photos captured with a video camera in real time Simply said, To put it another way, it's a system application for automatically recognising people. a person captured in a photograph or video frame In this paper, we will discuss to propose a facial recognition system that is automated. This Face detection, feature extraction, and facial recognition are all used in this application. algorithmic recognition, which automatically detects when the individual in front of the camera has a human face knowing who he is KEYWORD-Face Recognition, Principal component analysis (PCA), Biometrics, eigenfaces.

Topik & Kata Kunci

Penulis (3)

F

F. Tsalakanidou

S

S. Malassiotis

M

M. Strintzis

Format Sitasi

Tsalakanidou, F., Malassiotis, S., Strintzis, M. (2018). Face Recognition. https://doi.org/10.1007/0-387-30038-4_75

Akses Cepat

Lihat di Sumber doi.org/10.1007/0-387-30038-4_75
Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
572×
Sumber Database
Semantic Scholar
DOI
10.1007/0-387-30038-4_75
Akses
Open Access ✓