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Robust Palm Vein Pattern Recognition System based on Hybrid Texture Descriptors


     

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The project presents robust palm vein recognition using hybrid texture descriptors such as discriminative robust local ternary pattern and Weber’s local descriptor for improving the recognition accuracy. A Biometric system is essentially a pattern recognition system that makes use of biometric traits to recognize individuals. There was a negative effect on recognition performance on fingerprint and palm print biometrics due to the some conditions such as oil on the fingers, moisture, and dirt. Therefore, vein patterns stand out from the host of intrinsic biometric traits for development of a recognition system that can meet all these expectations.


Keywords

Discriminative Robust Local Ternary Pattern and Weber’s Local Descriptor
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  • Robust Palm Vein Pattern Recognition System based on Hybrid Texture Descriptors

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Abstract


The project presents robust palm vein recognition using hybrid texture descriptors such as discriminative robust local ternary pattern and Weber’s local descriptor for improving the recognition accuracy. A Biometric system is essentially a pattern recognition system that makes use of biometric traits to recognize individuals. There was a negative effect on recognition performance on fingerprint and palm print biometrics due to the some conditions such as oil on the fingers, moisture, and dirt. Therefore, vein patterns stand out from the host of intrinsic biometric traits for development of a recognition system that can meet all these expectations.


Keywords


Discriminative Robust Local Ternary Pattern and Weber’s Local Descriptor