IEEE Trans Pattern Anal Mach Intell - Iris Image Classification Based on Hierarchical Visual Codebook.

Tópicos

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Resumo

Iris recognition as a reliable method for personal identification has many important applications in both public and personal security areas. Iris recognition has been well studied with the objective to assign 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 (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 representation method called Hierarchical Visual Codebook (HVC) is proposed to encode the texture primitives of iris images. The HVC is an integration of two existing Bag-of-Words models, namely Vocabulary Tree (VT) and Locality-constrained Linear Coding (LLC). It adopts coarse-to-fine visual coding strategy like VT and sparse representation of LLC. Extensive experiments demonstrate that the proposed 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.

Resumo Limpo

iri recognit reliabl method person identif mani import applic public person secur area iri recognit well studi object assign class label iri imag uniqu subject contrast iri imag classif aim classifi iri imag applic specif categori eg iri live detect classif genuin fake iri imag race classif classif iri imag asian nonasian subject coarsetofin iri identif classif iri imag central databas multipl categori paper propos general framework iri imag classif base textur analysi novel textur represent method call hierarch visual codebook hvc propos encod textur primit iri imag hvc integr two exist bagofword model name vocabulari tree vt localityconstrain linear code llc adopt coarsetofin visual code strategi like vt spars represent llc extens experi demonstr propos method achiev stateoftheart perform iri live detect race classif coarsetofin iri identif comprehens fake iri imag databas simul four type iri spoof attack develop benchmark research

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