Deep Learning based Contactless Biometric Recognition using Bracelet Lines

Biometrics has always been an essential component for the identification of a personnel in every sector, even devices such as smartphones, and smart devices use it these days. Numerous methods have been implemented for biometric identification over the years, such as biometrics using fingerprint recognition, facial recognition and even using the finger knuckles. Contactless Biometrics has been more prevalent over the recent years due to the Covid Pandemic but has paved the way for more efficient and effective biometric systems for using the Bracelet lines on the wrist to identify a person. This work considers applying the YOLO model for the detection of wrists along with Deep Learning Techniques for recognition. The system is created using an Arduino Uno paired with Esp32 CAM for clicking and sending the photo of the user to the server for identification. The simulation results show that the proposed work is efficient enough to provide real-time recognition of the user.