Face recognition with Symmetric Local Graph Structure (SLGS)

作者：

Highlights：

• Proposed a novel method for face recognition using graph-based local features.

• Experimented with well-known online face database that is AT&T face database.

• Result clearly shows that the proposed method outperforms the control methods.

• The performance is evaluated using recognition rate, accuracy, FAR, and FRR.

摘要

•Proposed a novel method for face recognition using graph-based local features.•Experimented with well-known online face database that is AT&T face database.•Result clearly shows that the proposed method outperforms the control methods.•The performance is evaluated using recognition rate, accuracy, FAR, and FRR.

论文关键词：Face recognition,Pattern recognition,Texture-based,Local descriptor,Symmetric Local Graph Structure (SLGS),Biometric

论文评审过程：Available online 16 April 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.04.006