Abstract: Systems and methods for pre-validating a digital image of an identification (ID) card (e.g., a government-issued passport, driver's license, etc.) are disclosed. A mobile computing device captures image(s) of an ID card. In response, a pre-validation system in communication with the mobile computing device analyzes one or more quality features of the image(s), which includes determining, utilizing a trained neural network (trained using a dataset including images that have been accepted by a post-validation platform and images that have been rejected by the post-validation platform) and based on the one or more quality features, whether at least a first image of the captured image(s) is usable by a remote post-validation process. Responsive to the determining that the at least a first image is usable, the mobile computing device transmits the first image to a remote server for post-validation of the identification card.

Abstract: Systems and methods for pre-validating a digital image of an identification (ID) card (e.g., a government-issued passport, driver's license, etc.) are disclosed. A mobile computing device captures image(s) of an ID card. In response, a pre-validation system in communication with the mobile computing device analyzes one or more quality features of the image(s), which includes determining, utilizing a trained neural network (trained using a dataset including images that have been accepted by a post-validation platform and images that have been rejected by the post-validation platform) and based on the one or more quality features, whether at least a first image of the captured image(s) is usable by a remote post-validation process. Responsive to the determining that the at least a first image is usable, the mobile computing device transmits the first image to a remote server for post-validation of the identification card.

Abstract: Systems and methods for pre-validating a digital image of an identification (ID) card (e.g., a government-issued passport, driver's license, etc.) are disclosed. A mobile computing device captures image(s) of an ID card. In response, a pre-validation system in communication with the mobile computing device analyzes one or more quality features of the image(s), which includes determining, utilizing a trained neural network (trained using a dataset including images that have been accepted by a post-validation platform and images that have been rejected by the post-validation platform) and based on the one or more quality features, whether at least a first image of the captured image(s) is usable by a remote post-validation process. Responsive to the determining that the at least a first image is usable, the mobile computing device transmits the first image to a remote server for post-validation of the identification card.