Identity Document

Identity document analysis focuses on automatically verifying the authenticity and integrity of identification documents like passports and driver's licenses, primarily to combat fraud and improve security in online and mobile services. Current research emphasizes developing robust and efficient algorithms, often employing deep learning models like convolutional neural networks (CNNs), to detect forgeries, analyze document quality, and localize key features within images. This field is crucial for enhancing security in various applications, from online banking to border control, by enabling faster, more reliable, and privacy-preserving identity verification.