Heterogeneous Face Biometrics Based on Guassian Weights and Invariant Features Synthesis

摘要：

Face images captured in different spectral bands are said to be heterogeneous. Although the heterogeneous face images from a same individual arc significantly different in appearance, we can still achieve multimodal patterns matching by image processing and transforming. In this paper, we propose a novel recognition algorithm based on face synthesis from NIK (near infrared) to VIS (visual light). For this first we use the illumination-invariant feature to construct face mapping function, then apply the correlation coefficient Gaussian kernel to determine the weights of synthesis components, and produce a synthesized VIS image corresponding to the query MR image, thereby our problem is transformed to conventional homogeneous (VIS) face matching. Experimental results show that the proposed method effectively improves the recognition results.

关键词： Heterogeneous face biometrics Illumination-invariant feature Guassian weights Face synthesis Mapping

作者: Mengyi Liu Wei Xie Xingwei Chen Yufeng Ma Yujing Guo Jing Meng Zhiyong Yuan Qianqing Qin

作者单位: School of Computer, Wuhan University Wuhan 430072, China State Key Laboratory of Information Engineering in Surveying, Mapping & Remote Sensing Wuhan Univers

会议类型: 国际会议

会议名称: 2011 IEEE 2nd International Conference on Computing，Control and Industrial Engineering(CCIE 2011)(第二届计算、控制与工业工程国际会议)

会议地点: 武汉

会议语种:英文

页码: 374-377

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）