Iris Image Classification Based on Hierarchical Visual Codebook

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	Iris Image Classification Based on Hierarchical Visual Codebook
	Sun, Zhenan1 ; Zhang, Hui 2; Tan, Tieniu1 ; Wang, Jianyu 3
刊名	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
	2014-06-01
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
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.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]	Computer Science ; Engineering
关键词[WOS]	TEXTURE ANALYSIS ; RECOGNITION ; IDENTIFICATION
收录类别	SCI
语种	英语
WOS记录号	WOS:000337124200006
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3797]
专题	自动化研究所_智能感知与计算研究中心
作者单位	1.Chinese Acad Sci CASIA, Ctr Res Intelligent Percept & Comp CRIPAC, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Shanghai Inst Tech Phys, Shanghai 200083, Peoples R China
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.