Person Identification from Lip Texture Analysis
文献类型：会议论文
| 作者 | Zhihe Lu(卢治合)2,3,4 ; Ran He(赫然)1,2,3,4; He R(赫然)
|
| 出版日期 | 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. |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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