Identity Document Analysis

Identity document analysis focuses on automatically verifying and analyzing identity documents like passports and driver's licenses, primarily to combat fraud and improve security in online services. Current research emphasizes developing large, diverse datasets of synthetic identity documents to train robust machine learning models for tasks such as document localization, text recognition, and fraud detection. The availability of such datasets is crucial for advancing the field and enabling more secure and efficient identity verification processes across various applications.