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- W2377167772 abstract "To solve the problem of the periocular images not effectively exploited in current human identification algorithm, this paper conducted two experiments to determine how humans analyze periocular images. Firstly,the eye images for our experiment are selected and pre-processed. Then subjects were paired randomly to create different-subject queries and show that the volunteers correctly determined the relationship between the two images in92% of the queries. Finally, multiple factors are considered in forming different-subject pairs; queries were formed from pairs of subjects with the same gender and race, and with similar eye color, makeup, eyelash length, and eye occlusion. In addition, the amount of time volunteers could view a query pair is limited. In this experiment, the correct verification rate was 79%. The analysis shows that the human identification is effectively when combing the human identification system and the periocular identification algorithm." @default.
- W2377167772 created "2016-06-24" @default.
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- W2377167772 date "2014-01-01" @default.
- W2377167772 modified "2023-09-26" @default.
- W2377167772 title "The research of human identity recognition based on useful features of near-nfrared periocular images" @default.
- W2377167772 hasPublicationYear "2014" @default.
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