In a banking security project, you are tasked with developing a system to distinguish between genuine and forged signatures on checks and documents by comparing them against signatures stored in the bank's database. Given the rarity of forged signatures, the system must not only accurately identify the customer but also determine the authenticity of the signature with high precision. The solution must be scalable to handle thousands of transactions daily and comply with financial industry regulations regarding data privacy and security. Considering these constraints, which machine learning model would be most suitable for this task? Choose one correct option.