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首页> 外文期刊>Systems and Computers in Japan >Feature Extraction of Finger Vein Patterns Based on Iterative Line Tracking and Its Application to Personal Identification
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Feature Extraction of Finger Vein Patterns Based on Iterative Line Tracking and Its Application to Personal Identification

机译：基于迭代线跟踪的手指静脉纹特征提取及其在个人识别中的应用

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摘要

The research group of which the authors are members has proposed a scheme based on finger vein patterns as a scheme of biometric identification utilizing biological information. Since the finger vein images taken to obtain finger vein patterns are obtained by irradiating the fingers with infrared rays, fluctuations in brightness due to variations in the light power or the thickness of the finger occur. This paper proposes a scheme for extracting global finger vein patterns by iteratively tracking local lines from various positions to robustly extract finger vein patterns from such unclear images. The proposed scheme is robust against brightness fluctuations as compared with the conventional feature extraction schemes and the results of evaluating the proposed scheme by applying it to a personal identification system showed an effective error rate of 0.145%.
机译：作者所属的研究小组提出了一种基于指静脉模式的方案，作为利用生物信息进行生物特征识别的方案。由于为获得手指静脉图案而拍摄的手指静脉图像是通过用红外线照射手指而获得的，因此出现了由于光功率或手指厚度的变化而导致的亮度波动。本文提出了一种通过迭代跟踪各个位置的局部线以从此类不清楚的图像中可靠地提取手指静脉图案的方法来提取全局手指静脉图案的方案。与常规特征提取方案相比，该方案对亮度波动具有鲁棒性，并且将该方案应用于个人识别系统的评估结果显示有效误差率为0.145％。

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