Name
Abstract | ||
|---|---|---|
Color is one of the basic features of images, which can provide very useful information and play an important role in face recognition. By using the quaternion matrix representation, the R, G, B information of each pixel is not destroyed and it can be taken as a organic body. Therefore, this paper proposes a quaternion based maximum margin criterion (QMMC) algorithm. Firstly, the quaternion number is used to denote the pixel of the color image, and a quaternion vector is taken to represent the color image. Secondly, the maximum margin criterion algorithm is used to project the quaternion vector in the high-dimension space into a low-dimension space. Finally, the nearest neighbor classification are taken for classification recognition. Numerous experiments show that the proposed QMMC can achieve better recognition performance. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/s11063-016-9550-x | Neural Processing Letters |
Keywords | Field | DocType |
Color face recognition,Quaternion matrix,Feature extraction,Quaternion representation based maximum margin criterion | Quaternion,Artificial intelligence,Color face,Color image,k-nearest neighbors algorithm,Computer vision,Facial recognition system,Pattern recognition,Quaternion matrix,Feature extraction,Pixel,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
45 | 3 | 1370-4621 |
Citations | PageRank | References |
5 | 0.41 | 19 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhonghua Liu | 1 | 115 | 11.12 |
| Yong Qiu | 2 | 24 | 1.66 |
| Yali Peng | 3 | 119 | 9.32 |
| Jiexin Pu | 4 | 92 | 19.85 |
| Xiaoli Zhang | 5 | 92 | 14.66 |