Person Identification from Lip Texture Analysis

CORC > 自动化研究所 > 中国科学院自动化研究所 > 智能感知与计算研究中心

	Person Identification from Lip Texture Analysis
	Zhihe Lu(卢治合)2,3,4 ; Ran He(赫然)1,2,3,4 ; He R(赫然)
	2017-03
会议日期	2016.10.16-2016.10.18
会议地点	Beijing, China
英文摘要	The interactive liveness detection for face recognition often requires users to read some digits from 0 to 9. The movement and variation of lip texture during reading potentially provide discriminative information for human identification. This paper firstly addressed the issue of whether the lip texture during reading can serve as a soft-biometric for person identification. Different from the traditional lip recognition methods that are based on color statistics and lip shapes, we develop a deep architecture that incorporates both CNN and LSTM to jointly model the appearance and the spatial-temporal information of lip texture. We also build a new lip recognition database that contains 11,123 videos for the number 0∼9 in Chinese from 57 people. Experimental results show that the proposed method can achieve 96.01% on close-set protocols, suggesting the usage of lip texture as soft-biometrics for facilitating face recognition.
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/19721]
专题	自动化研究所_智能感知与计算研究中心
通讯作者	He R(赫然)
作者单位	1.National Laboratory of Pattern Recognition, CASIA 2.Center for Research on Intelligent Perception and Computing, CASIA 3.Center for Excellence in Brain Science and Intelligence Technology, CAS 4.University of Chinese Academy of Sciences, Beijing
推荐引用方式 GB/T 7714	Zhihe Lu,Ran He,He R. Person Identification from Lip Texture Analysis[C]. 见:. Beijing, China. 2016.10.16-2016.10.18.