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- W1567997065 abstract "The randomness of iris pattern makes it one of the most reliable biometric traits. On the other hand, the complex iris image structure and various sources of intra-class variations result in the difficulty of iris representation. Although diverse iris recognition methods have been proposed, the fundamentals of iris recognition have not a unified answer. As a breakthrough of this problem, we found that several accurate iris recognition algorithms share a same idea — local ordinal encoding, which is the representation well-suited for iris recognition. After further analysis and summarization, a general framework of iris recognition is formulated in this paper. This work discovered the secret of iris recognition. With the guidance of this framework, a novel iris recognition method based on robust estimating the direction of image gradient vector is developed. Extensive experimental results demonstrate our idea." @default.
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- W1567997065 date "2004-01-01" @default.
- W1567997065 modified "2023-10-09" @default.
- W1567997065 title "Robust Encoding of Local Ordinal Measures: A General Framework of Iris Recognition" @default.
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- W1567997065 doi "https://doi.org/10.1007/978-3-540-25976-3_25" @default.
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