Name
Abstract | ||
|---|---|---|
This paper proposes an intensity and size invariant real time computer vision-based face recognition approach. With this method, human facial area(s) are first detected automatically from real-time captured images. The images are then normalized using histogram equalization and contrast stretching. Finally face is recognized using eigenfaces method. This proposed method is camera to face distance invariant as well as intensity invariant. The effectiveness of this method was demonstrated using both static and dynamic images. The average precision and recall rate achieved by the proposed method is above 90%. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02611-9_50 | ICIAR |
Keywords | Field | DocType |
face recognition approach,size invariant real time,histogram equalization,distance invariant,computer vision-based face recognition,dynamic image,intensity invariant,eigenfaces method,human facial area,average precision,face detection,face recognition,real time | Normalization (image processing),Computer vision,Facial recognition system,Eigenface,Pattern recognition,Three-dimensional face recognition,Computer science,Precision and recall,Artificial intelligence,Invariant (mathematics),Face detection,Histogram equalization | Conference |
Volume | ISSN | Citations |
5627 | 0302-9743 | 1 |
PageRank | References | Authors |
0.38 | 5 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kaeser Md. Sabrin | 1 | 1 | 0.38 |
| Tao Zhang | 2 | 422 | 100.57 |
| Song Chen | 3 | 1 | 0.38 |
| Md. Nurul Tawhid | 4 | 1 | 0.38 |
| Md. Hasanuzzaman | 5 | 49 | 8.75 |
| Md. Haider Ali | 6 | 4 | 2.62 |
| Haruki Ueno | 7 | 129 | 18.02 |