Finger Vein Recognition Based on Local Directional Code
نویسندگان
چکیده
منابع مشابه
Finger Vein Recognition Based on Local Directional Code
Finger vein patterns are considered as one of the most promising biometric authentication methods for its security and convenience. Most of the current available finger vein recognition methods utilize features from a segmented blood vessel network. As an improperly segmented network may degrade the recognition accuracy, binary pattern based methods are proposed, such as Local Binary Pattern (L...
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Recently, a new biometric technology based on human finger-vein patterns has attracted the attention of biometrics-based identification research community. Compared with other traditional biometric characteristics (such as face, iris, fingerprint, etc.), finger vein exhibits some excellent advantages in application. For instance, apart from uniqueness, universality, permanence and measurability...
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Finger vein is a new member in the biometrics family. Current finger vein recognition algorithms provide high accuracy in good quality images. However, previous researches have shown that the poor quality samples lead to a significant reduction in the accuracy of a single biometric trait system. For non-ideal finger vein images, this paper proposes a method based on multi-instance matching scor...
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In finger vein recognition, the input image is generally labeled in accordance with the nearest enrolled neighbor. However, it is so rigid that it is inadequate for some cases. This paper explores a modified sparse representation method for finger vein recognition. In the method, each block in a finger vein image will be sparsely represented by dictionary textons, not simply labeled by the near...
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ژورنال
عنوان ژورنال: Sensors
سال: 2012
ISSN: 1424-8220
DOI: 10.3390/s121114937