基于深度学习的手背静脉生物识别技术

IF 0.6 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Acta Scientiarum-technology Pub Date : 2023-04-28 DOI:10.4025/actascitechnol.v45i1.61948
F. O. Babalola, Y. Bi̇ti̇ri̇m, Önsen Toygar
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引用次数: 0

摘要

本研究提出的手背生物特征识别系统在基于深度学习的卷积神经网络(CNN)模型中结合了手背静脉生物特征区域的信息强度。该方法将每个背图像划分为五个重叠的区域;因此,每个图像获得五个不同的训练和测试集,在只使用一个特征的情况下建模一个多模态生物识别系统。测试输出通过分数级融合进行组合。在FYO、Bosphorus和Badawi数据集上的实验结果表明了该方法的有效性和与其他识别系统的可比性。结果还与最先进的手背静脉识别系统进行了比较,以显示所提出的生物识别架构在不同条件下表现良好的能力,这些条件可能会影响手背静脉模式的获取,并对识别系统的效率产生相应的影响。
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Dorsal hand vein biometrics with a novel deep learning approach for person identification
Hand dorsal biometric recognition system proposed in this study combines the strength of information in regions of dorsal vein biometric trait in a deep learning based Convolutional Neural Networks (CNN) model. The approach divides each dorsal image into five overlapping regions; consequently, five different training and test sets are obtained for each image, modeling a multi-modal biometric system while using only one trait. The test outputs are combined by score-level fusion. Experimental results on FYO, Bosphorus and Badawi datasets indicate the efficiency of the proposed method and its comparability with other recognition systems. The results are also compared with the state-of-the-art dorsal hand vein recognition systems to show the ability of the proposed biometric architecture to perform well in different conditions that may affect dorsal vein pattern acquisition and have con-sequent effect on the efficiency of the recognition system.
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来源期刊
Acta Scientiarum-technology
Acta Scientiarum-technology 综合性期刊-综合性期刊
CiteScore
1.40
自引率
12.50%
发文量
60
审稿时长
6-12 weeks
期刊介绍: The journal publishes original articles in all areas of Technology, including: Engineerings, Physics, Chemistry, Mathematics, Statistics, Geosciences and Computation Sciences. To establish the public inscription of knowledge and its preservation; To publish results of research comprising ideas and new scientific suggestions; To publicize worldwide information and knowledge produced by the scientific community; To speech the process of scientific communication in Technology.
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