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Vein and Fingerprint Identification Multi Biometric System: A Novel Approach

机译:静脉和指纹识别多生物特征识别系统:一种新方法

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In this paper, a compact system that consists of a Biometrics technology CMOS fingerprint sensor (FPC1011F1) is used with the FPC2020 power efficient fingerprint processor ; which acts as a biometric sub-system with a direct interface to the sensor as well as to an external PC for storing finger print templates. The small size and low power consumption enables this integrated device to fit in smaller portable and battery powered devices utilizing high performance identification speed. Added to the fingerprint system in a vein image extraction system; it consists of a set of LEDs (light emitting diodes) that generates near infrared light that penetrates the body Tissue. An image of the veins pattern is revealed as the near infrared light is reflected in the haemoglobin in the blood. A CCD (charge coupled device) camera uses a small, rectangular piece of silicon to receive incoming light. The CCD captures the image of the vein pattern through this reflected light. The Image is processed through an algorithm to constructs a finger vein pattern from the camera image. This pattern is then digitized and saved as a template for biometric authentication the integrated system will extract two biometrics identifiers; namely, vein and fingerprint.
机译:在本文中,由Biometrics技术的CMOS指纹传感器(FPC1011F1)组成的紧凑型系统与FPC2020节能指纹处理器配合使用;它作为生物识别子系统,具有与传感器以及与外部PC的直接接口,用于存储指纹模板。小尺寸和低功耗使该集成设备能够利用高性能的识别速度安装在较小的便携式电池供电设备中。在静脉图像提取系统中添加到指纹系统;它由一组LED(发光二极管)组成,这些LED产生穿透人体组织的近红外光。当近红外光在血液中的血红蛋白中反射时,就会显示出静脉图案的图像。 CCD(电荷耦合器件)相机使用一块矩形的小硅片来接收入射光。 CCD通过该反射光捕获静脉图案的图像。通过算法处理图像,以根据相机图像构建手指静脉图案。然后将该模式数字化并保存为生物特征认证模板,集成系统将提取两个生物特征标识符。即静脉和指纹。

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