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- W4385444379 abstract "Human identification is based on a variety of distinctive biological traits, such as faces, fingerprints, palm prints, DNA, hand geometries, retina, iris, stride, voice, and signatures. Nevertheless, these biometric qualities are not resistant to counterfeiting and may be readily abused to trick the biometric system. A potential option that has recently caught the attention of many academics is vein pattern-based biometrics. Based on the idea that every person has a distinctive pattern of veins in their body, this vein biometric uses the vein (vascular) pattern of the human being to identify the individual. Hemoglobin in the blood absorbs infrared light rays as they travel through the skin, reflecting vein lines as dark lines and other parts as brilliant. Due to the tiny device size and low cost, the vein pattern picture capture procedure from a human finger is effective and practical, which is why finger vein patterns are frequently used. Identifying various components or extracting and analyzing different features from an image is challenging. In this study, a method for personal identification is presented using both local and global characteristics of photographs of human finger vein patterns. Thus the results can be used for a wide variety of applications." @default.
- W4385444379 created "2023-08-02" @default.
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- W4385444379 date "2023-06-01" @default.
- W4385444379 modified "2023-09-26" @default.
- W4385444379 title "Use of Artificial Intelligence for Palm Vein Detection-based Personal Identification" @default.
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- W4385444379 doi "https://doi.org/10.1109/icces57224.2023.10192756" @default.
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