Abstract: Methods for detecting digital or physical tampering of an imaged physical credential include the actions of: receiving a digital image representing a physical credential having one or more high value regions, the digital image including an array of pixels; processing the digital image with a tamper detector to generate an output corresponding to an intrinsic characteristic of the digital image, the tamper detector configured to perform a pixel-level analysis of the high value regions of the digital image with respect to a predetermined tampering signature; and determining, based on the output from the tamper detector, whether the digital image has been digitally tampered with.

Abstract: Methods for detecting digital or physical tampering of an imaged physical credential include the actions of: receiving a digital image representing a physical credential having one or more high value regions, the digital image including an array of pixels; processing the digital image with a tamper detector to generate an output corresponding to an intrinsic characteristic of the digital image, the tamper detector configured to perform a pixel-level analysis of the high value regions of the digital image with respect to a predetermined tampering signature; and determining, based on the output from the tamper detector, whether the digital image has been digitally tampered with.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an active lighting system. In one aspect, a method includes receiving a first image of the physical document having a first glare signature and a second image of the physical document having a second glare signature that is different from the first glare signature; determining a first glare map of the first image and a second glare map of the second image; comparing the first glare map to the second glare map; and generating the digital image based on the comparison of the first and second glare maps.

Abstract: Methods for detecting digital or physical tampering of an imaged physical credential include the actions of: receiving a digital image representing a physical credential having one or more high value regions, the digital image including an array of pixels; processing the digital image with a tamper detector to generate an output corresponding to an intrinsic characteristic of the digital image, the tamper detector configured to perform a pixel-level analysis of the high value regions of the digital image with respect to a predetermined tampering signature; and determining, based on the output from the tamper detector, whether the digital image has been digitally tampered with.

Abstract: Methods, systems, and computer programs for transaction verification.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for identification templates for identification search and authentication. In some implementations, obtaining first data that represents a physical document identifying a party to a transaction, providing the first data as an input to a machine learning model that comprises at least one hidden layer that is a trained security feature discriminator layer, obtaining activation data generated by the security feature discriminator layer based on the machine learning model processing the first data, determining based on the obtained activation data, that the transaction is to be denied, and based on determining that the transaction is to be denied, generating a notification that, when processed by the computer, causes the computer to output data indicating that the transaction is to be denied.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for updating a shared database and processing transactions. In some implementations, first data related to a transaction is received by a first enterprise transaction verification system. The first enterprise transaction verification system generates second data by obfuscating the first data using a machine learning model that has been trained to include a security feature discriminator layer and obtaining a set of activations output by a security feature discriminator layer of the machine learning model. The second data includes the set of activations and can be stored on a shared database where it can be compared with other activations from other transactions to aid in authentications and detections of fraud.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an active lighting system. In one aspect, a method includes receiving a first image of the physical document having a first glare signature and a second image of the physical document having a second glare signature that is different from the first glare signature; determining a first glare map of the first image and a second glare map of the second image; comparing the first glare map to the second glare map; and generating the digital image based on the comparison of the first and second glare maps.

Abstract: Methods, systems, and apparatuses, including computer programs, for counterfeit document detection. In one aspect, a method includes obtaining first data representing a first image, providing the obtained first data as an input to a machine learning model that has been trained to determine whether data representing an input image deviates from data representing one or more images of a physical document printed in accordance with a particular anticounterfeiting architecture, obtaining second data that represents output data generated, by the machine learning model, based on the machine learning model processing the obtained first data as an input, determining, based on the obtained second data, whether the first image deviates from data representing one or more images of a physical document printed in accordance with a particular anticounterfeiting architecture, and storing third data indicating that a document, from which the first image was obtained, is a counterfeit document.

Abstract: Methods for detecting digital or physical tampering of an imaged physical credential include the actions of: receiving a digital image representing a physical credential having one or more high value regions, the digital image including an array of pixels; processing the digital image with a tamper detector to generate an output corresponding to an intrinsic characteristic of the digital image, the tamper detector configured to perform a pixel-level analysis of the high value regions of the digital image with respect to a predetermined tampering signature; and determining, based on the output from the tamper detector, whether the digital image has been digitally tampered with.

Abstract: Methods for detecting digital or physical tampering of an imaged physical credential include the actions of: receiving a digital image representing a physical credential having one or more high value regions, the digital image including an array of pixels; processing the digital image with a tamper detector to generate an output corresponding to an intrinsic characteristic of the digital image, the tamper detector configured to perform a pixel-level analysis of the high value regions of the digital image with respect to a predetermined tampering signature; and determining, based on the output from the tamper detector, whether the digital image has been digitally tampered with.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an active lighting system. In one aspect, a method includes receiving a first image of the physical document having a first glare signature and a second image of the physical document having a second glare signature that is different from the first glare signature; determining a first glare map of the first image and a second glare map of the second image; comparing the first glare map to the second glare map; and generating the digital image based on the comparison of the first and second glare maps.

Abstract: Methods for detecting digital or physical tampering of an imaged physical credential include the actions of: receiving a digital image representing a physical credential having one or more high value regions, the digital image including an array of pixels; processing the digital image with a tamper detector to generate an output corresponding to an intrinsic characteristic of the digital image, the tamper detector configured to perform a pixel-level analysis of the high value regions of the digital image with respect to a predetermined tampering signature; and determining, based on the output from the tamper detector, whether the digital image has been digitally tampered with.