标题:Sketch Face Recognition: P-HOG Multi-Features Fusion
作者:Chen Z.; Yao S.; Liu C.; Cai L.
作者机构:[Chen, Z] School of Control Science and Engineering, Shandong University, Jinan, 250061, China, Shenzhen Research Institute of Shandong University, Sh 更多
来源:International Journal of Pattern Recognition and Artificial Intelligence
出版年:2018
DOI:10.1142/S0218001419560032
关键词:global feature; local feature; NLDA; P-HOG; Sketch faces
摘要:With the development of biometric recognition technology, sketch face recognition has been widely applied to assist the police to confirm the identity of the criminal suspect. Most of the present recognition methods use the image features directly, in which the key parts can't be used sufficiently. This paper presents a sketch face recognition method based on P-HOG multi-features weighted fusion. Firstly, the global face image and the local face image which contains key components of the face are divided into patches based on spatial scale pyramid, and then the global P-HOG features and local P-HOG features are extracted, respectively. After that, the dimensions of global and local features are reduced using PCA and NLDA. Finally, the features are weighted based on sensitivity and fused. The nearest neighbor classifier is used to complete the final recognition. The experimental results on different databases show that the proposed method outperforms state-of-the-art methods. © 2019 World Scientific Publishing Company.
收录类别:SCOPUS
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054746813&doi=10.1142%2fS0218001419560032&partnerID=40&md5=e054435b0c621f7d1a8b89250b4f7248
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