Facial Profiles Recognition Using Comparative Facial Soft Biometrics
| Title | Facial Profiles Recognition Using Comparative Facial Soft Biometrics |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Alamri, M., Mahmoodi, S. |
| Conference Name | 2020 International Conference of the Biometrics Special Interest Group (BIOSIG) |
| Keywords | biometrics (access control), Comparative Soft Biometrics, Correlation, Elo rating system, Eyebrows, face recognition, faces, facial profile recognition, facial recognition, facial soft biometrics, feature extraction, Human Behavior, human recognition, Metrics, Profile Face Recognition, Profile Facial Attributes, pubcrawl, ranking, resilience, Resiliency, Shape, Skin |
| Abstract | This study extends previous advances in soft biometrics and describes to what extent soft biometrics can be used for facial profile recognition. The purpose of this research is to explore human recognition based on facial profiles in a comparative setting based on soft biometrics. Moreover, in this work, we describe and use a ranking system to determine the recognition rate. The Elo rating system is employed to rank subjects by using their face profiles in a comparative setting. The crucial features responsible for providing useful information describing facial profiles have been identified by using relative methods. Experiments based on a subset of the XM2VTSDB database demonstrate a 96% for recognition rate using 33 features over 50 subjects. |
| Citation Key | alamri_facial_2020 |
- Human behavior
- Skin
- Shape
- Resiliency
- resilience
- ranking
- pubcrawl
- Profile Facial Attributes
- Profile Face Recognition
- Metrics
- human recognition
- facial recognition
- feature extraction
- facial soft biometrics
- facial profile recognition
- faces
- face recognition
- Eyebrows
- Elo rating system
- Correlation
- Comparative Soft Biometrics
- biometrics (access control)