| 双偏差双空间局部方向模式的人脸识别 |
| |
| 引用本文： | 王鹏,叶学义,王涛,钱丁炜. 双偏差双空间局部方向模式的人脸识别[J]. 计算机工程与应用, 2021, 57(4): 91-99. DOI: 10.3778/j.issn.1002-8331.1911-0311 |
| |
| 作者姓名： | 王鹏 叶学义 王涛 钱丁炜 |
| |
| 作者单位： | 杭州电子科技大学 通信工程学院 模式识别与信息安全实验室，杭州 310018 |
| |
| 摘 要： | 针对局部方向数(Local Directional Number pattern,LDN)类方法的人脸识别通常仅利用梯度信息且信息提取不充分的问题,提出双偏差双空间局部方向模式(Double Variation and Double Space Local Directional Pattern,DVDSLDP).该方...
|
| 关 键 词： | 双偏差 局部方向模式 直方图特征 信息熵加权 双偏差双空间局部方向模式(DVDSLDP) 人脸识别 |
Face Recognition Based on Double Variation and Double Space Local Directional Pattern |
| |
| WANG Peng,YE Xueyi,WANG Tao,QIAN Dingwei. Face Recognition Based on Double Variation and Double Space Local Directional Pattern[J]. Computer Engineering and Applications, 2021, 57(4): 91-99. DOI: 10.3778/j.issn.1002-8331.1911-0311 |
| |
| Authors: | WANG Peng YE Xueyi WANG Tao QIAN Dingwei |
| |
| Affiliation: | Lab of Pattern Recognition & Information Security, School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China |
| |
| Abstract: | In order to solve the problem that face recognition based on Local Directional Number pattern（LDN） usually only uses gradient information and does not extract enough information, a method called Double Variation and Double Space Local Directional Pattern（DVDSLDP） is proposed. Firstly, this method expands the associated neighborhood information by pixel sampling, and then the relative deviation and absolute deviation are obtained by edge response operator and local forward and backward difference respectively to form double deviation information, which can fully extract the information of the local gradient space. Then the gradient spatial features are cascaded with the grayscale spatial features of the extracted pixels to obtain double spatial features, which are used for pattern coding to get the feature image. Finally, the face feature vector is obtained by weighted cascading the sub-block histograms according to the information entropy, and the nearest neighbor classifier is used to complete the classification. The proposed method is compared with the relevant typical methods, and the results on the ORL, Yale and AR databases show that the feature images with clearer outline and richer texture are obtained by fusing the features of double space. The recognition rate of the DVDSLDP method on the ORL and Yale databases are 99.50% and 94.44%, respectively, especially when there are few training samples, the performance of the proposed method is significantly improved. Meanwhile, in particular, it is worth mentioning that the recognition rate of the proposed method on the AR expression, illumination, occlusion A and occlusion B databases are 99.67%, 100%, 99.33% and 97.33%, respectively, which is significantly higher than other methods, the proposed method shows good robustness. |
| |
| Keywords: | double variation local direction pattern histogram feature information entropy weighting Double Variation and Double Space Local Direction Pattern（DVDSLDP） face recognition |
| 本文献已被 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程与应用》浏览原始摘要信息 |
|
点击此处可从《计算机工程与应用》下载免费的PDF全文 |
|
