Name
Abstract | ||
|---|---|---|
In this paper the implementation of the Local Binary Pattern algorithm for face recognition is presented using the partial information of the face, the main contribution of this work is that segmenting the parts of face (forehead, eyes, mouth) can make the recognition a person using only their eyes and getting a percentage of up to 69%, which con- sidering the limited information provided a good success rate is obtained. In the test phase AR facedatabase it was used and using the method of Viola Jones face is located and segmented to obtain templates for each person and each part of his face and Euclidean distance was used for classication task. Because in a real application do not always have all the face of the person to identify the proposed system shows that you can get good results with partial information about it, in addition the results show that in the ranking 6 always provided the right person, which is also useful in real applications. |
Year | Venue | Field |
|---|---|---|
2015 | Research in Computing Science | Computer vision,Facial recognition system,Viola–Jones object detection framework,Ranking,Three-dimensional face recognition,Computer science,Euclidean distance,Local binary patterns,Artificial intelligence,Face detection |
DocType | Volume | Citations |
Journal | 102 | 0 |
PageRank | References | Authors |
0.34 | 3 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francisco Rosario-Verde | 1 | 0 | 0.34 |
| Joel Perez-Siles | 2 | 0 | 0.34 |
| Luis Aviles-Brito | 3 | 0 | 0.34 |
| Jesus Olivares-Mercado | 4 | 15 | 7.23 |
| Karina Toscano-Medina | 5 | 19 | 8.94 |
| Héctor Pérez-Meana | 6 | 48 | 15.66 |