热门
Iris image classification based on hierarchical visual codebook
文献类型：期刊论文
| 作者 | Sun, Zhenan (1) ; Zhang, Hui (2) ; Tan, Tieniu (1) ; Wang, Jianyu (3) |
| 刊名 | IEEE Transactions on Pattern Analysis and Machine Intelligence
 |
| 出版日期 | 2014 |
| 卷号 | 36期号:6页码:1120-1133 |
| 关键词 | Iris image classification Hierarchical Visual Codebook (HVC) iris liveness detection race classification coarse-to-fine iris identification |
| ISSN号 | 1628828 |
| 通讯作者 | Zhang, H.(zhanghui@iscas.ac.cn) |
| 中文摘要 | Iris recognition as a reliable method for personal identification has been well-studied with the objective to assign the class label of each iris image to a unique subject. In contrast, iris image classification aims to classify an iris image to an application specific category, e.g., iris liveness detection (classification of genuine and fake iris images), race classification (e.g., classification of iris images of Asian and non-Asian subjects), coarse-to-fine iris identification (classification of all iris images in the central database into multiple categories). This paper proposes a general framework for iris image classification based on texture analysis. A novel texture pattern representation method called Hierarchical Visual Codebook (HVC) is proposed to encode the texture primitives of iris images. The proposed HVC method is an integration of two existing Bag-of-Words models, namely Vocabulary Tree (VT), and Locality-constrained Linear Coding (LLC). The HVC adopts a coarse-to-fine visual coding strategy and takes advantages of both VT and LLC for accurate and sparse representation of iris texture. Extensive experimental results demonstrate that the proposed iris image classification method achieves state-of-the-art performance for iris liveness detection, race classification, and coarse-to-fine iris identification. A comprehensive fake iris image database simulating four types of iris spoof attacks is developed as the benchmark for research of iris liveness detection. © 2013 IEEE. |
| 英文摘要 | Iris recognition as a reliable method for personal identification has been well-studied with the objective to assign the class label of each iris image to a unique subject. In contrast, iris image classification aims to classify an iris image to an application specific category, e.g., iris liveness detection (classification of genuine and fake iris images), race classification (e.g., classification of iris images of Asian and non-Asian subjects), coarse-to-fine iris identification (classification of all iris images in the central database into multiple categories). This paper proposes a general framework for iris image classification based on texture analysis. A novel texture pattern representation method called Hierarchical Visual Codebook (HVC) is proposed to encode the texture primitives of iris images. The proposed HVC method is an integration of two existing Bag-of-Words models, namely Vocabulary Tree (VT), and Locality-constrained Linear Coding (LLC). The HVC adopts a coarse-to-fine visual coding strategy and takes advantages of both VT and LLC for accurate and sparse representation of iris texture. Extensive experimental results demonstrate that the proposed iris image classification method achieves state-of-the-art performance for iris liveness detection, race classification, and coarse-to-fine iris identification. A comprehensive fake iris image database simulating four types of iris spoof attacks is developed as the benchmark for research of iris liveness detection. © 2013 IEEE. |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000337124200006 |
| 公开日期 | 2014-12-16 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16857]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 推荐引用方式 GB/T 7714 | Sun, Zhenan ,Zhang, Hui ,Tan, Tieniu ,et al. Iris image classification based on hierarchical visual codebook[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2014,36(6):1120-1133. |
| APA | Sun, Zhenan ,Zhang, Hui ,Tan, Tieniu ,&Wang, Jianyu .(2014).Iris image classification based on hierarchical visual codebook.IEEE Transactions on Pattern Analysis and Machine Intelligence,36(6),1120-1133. |
| MLA | Sun, Zhenan ,et al."Iris image classification based on hierarchical visual codebook".IEEE Transactions on Pattern Analysis and Machine Intelligence 36.6(2014):1120-1133. |
入库方式： OAI收割
来源：软件研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。