A biometric device called finger-vein recognition utilizes the vein patterns in human fingers to recognize individuals. Finger vein picture recognition technology, which has been successfully applied in a variety of areas, is highly reliant on biometric identification. Because veins are concealed beneath the skin tissue, finger vein image identification has an advantage that cannot be duplicated and is resistant to outside influences. Even though vein-based devices have not yet been fully incorporated into everyday living, they are excellent non-contact options. This research made a deep learning-based finger vein fingerprint recognition suggestion. The deep learning technique used is Convolutional Neural Network (CNN). A public dataset with pictures of the left and right hand's finger veins is used for the application. Python is the tool employed for the execution.