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- W2204387901 abstract "This paper presents a new approach for inner-knuckle-print verification. Firstly, guided image filtering is implemented to remove noise and the minute lines. Then robust line features are extracted from the image based on a derivative edge detector. Finally the binary line images are matched by using a cross-correlation-based method. The experiments on a finger image database which includes 2000 images from 100 different individuals show good performance of the proposed approach." @default.
- W2204387901 created "2016-06-24" @default.
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- W2204387901 date "2013-01-01" @default.
- W2204387901 modified "2023-09-27" @default.
- W2204387901 title "Inner-Knuckle-Print Verification Based on Guided Image Filtering" @default.
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- W2204387901 doi "https://doi.org/10.1007/978-3-642-38466-0_53" @default.
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