Design of Finger-vein Capture Device with Quality Assessment using Arduino Micrcontroller

This paper focuses on designing and developing a finger-vein capturing device by using Arduino Microcontroller. It is a device that will capture the human finger-vein image and be controlled by Arduino Microcontroller. This device is applicable for authentication, verification and identification. It uses the concept of near-infrared light (NIR) emitted by a bank of NIR Light Emitting Diodes (LEDs). The NIR penetrates the finger and then absorbed by the haemoglobin in the blood. The areas in which the NIR rays are absorbed (i.e. Veins) thus appear as dark regions in an image conveyed by a CCD camera located on the opposite side of the finger. The brightness of the NIR will be controlled automatically using Arduino Microcontroller to obtain sufficient quality of image brightness. Although the Arduino Microcontroller is more expensive than potentiometer, it is more convenient and efficient as brightness adjuster. Besides that, it is definitely a low-cost device compares to FPGA. The image captured is analyzed by using Mean Square Error (MSE) and Peak Signalto-Noise Ratio (PSNR). A low cost capturing device is developed and decent quality finger-vein images are produced

Design Of Finger-Vein Capture Device With Quality Assessment Using Arduino Microcontroller

This paper focuses on designing and developing a finger-vein capturing device by using Arduino Microcontroller. It is a device that will capture the human finger-vein image and be controlled by Arduino Microcontroller. This device is applicable for authentication, verification and identification. It uses the concept of near-infrared light (NIR) emitted by a bank of NIR Light Emitting Diodes (LEDs). The NIR penetrates the finger and then absorbed by the haemoglobin in the blood. The areas in which the NIR rays are absorbed (i.e. Veins) thus appear as dark regions in an image conveyed by a CCD camera located on the opposite side of the finger. The brightness of the NIR will be controlled automatically using Arduino Microcontroller to obtain sufficient quality of image brightness. Although the Arduino Microcontroller is more expensive than potentiometer, it is more convenient and efficient as brightness adjuster. Besides that, it is definitely a low-cost device compares to FPGA. The image captured is analyzed by using Mean Square Error (MSE) and Peak Signal-to-Noise Ratio (PSNR). A low cost capturing device is developed and decent quality finger-vein images are produced

BioLocker: A Practical Biometric Authentication Mechanism based on 3D Fingervein

We design a consecution of protocols which allows organizations to have secure strong access control of their users to their desktop machines based on biometry. It provides both strong secure authentication and privacy. Moreover, our mechanism allows the system admins to grant a various level of access to their end-users by fine-tuning access control policy. Our system implements privacy-by-design. It separates biometric data from identity information. It is practical: we fully implemented our protocols as a proof of concept for a hospital. We use a 3D fingervein scanner to capture the biometric data of the user on a Raspberry Pi. For the biometry part, we developed an optimal way to aggregate scores using sequential distinguishers. It trades desired FAR and FRR against an average number of biometric captures