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Unconstrained Hand Dorsal Veins Image Database and Recognition System

Computers, materials & Continua 2022年第12期73卷 5063-5073页

作者： m.stafa m.al rifaee mohammad m.Abdallah mosa I.Salah Ayman m.Abdalla Faculty of Science and Information Technology Al-Zaytoonah University of JordanAmman11733Jordan Faculty of Architecture and Design Al-Zaytoonah University of JordanAmman11733Jordan

Hand veins can be used effectively in biometric recognition since they are internal organs that,in contrast to fingerprints,are robust under external environment effects such as dirt and paper ***,they form a complex rich shape that is unique,even in identical twins,and allows a high degree of ***,most currently employed hand-based biometric systems rely on hand-touch devices to capture images with the desired *** the start of the COVID-19 pandemic,most handbased biometric systems have become undesirable due to their possible impact on the spread of the ***,new contactless hand-based biometric recognition systems and databases are desired to keep up with the rising hygiene *** contribution of this research is the creation of a database for hand dorsal veins images obtained contact-free with a variation in capturing distance and rotation *** database consists of 1548 images collected from 86 participants whose ages ranged from 19 to 84 *** the other research contribution,a novel geometrical feature extraction method has been developed based on the Curvelet *** method is useful for extracting robust rotation invariance features from vein *** database attributes and the veins recognition results are analyzed to demonstrate their efficacy.

关键词： Biometric recognition contactless hand biometrics veins recognition Curvelet transform image segmentation feature extraction

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