BACKGROUND

Aspects of the disclosure relate to electrical computers, systems, and machine learning. In particular, one or more aspects of the disclosure relate to item validation and image evaluation.

Thwarting unauthorized activity on one or more accounts is an important function. As unauthorized actors become more sophisticated, it can be difficult to identify unauthorized instruments. Further, even systems configured to identify unauthorized instruments can identify false positives. Accordingly, it would be advantageous to have a system for further evaluating instruments, for instance, after an initial evaluation, to determine whether the instrument is unauthorized, identify aspects of an authorized or unauthorized instrument, and the like.

SUMMARY

The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosure. The summary is not an extensive overview of the disclosure. It is neither intended to identify key or critical elements of the disclosure nor to delineate the scope of the disclosure. The following summary merely presents some concepts of the disclosure in a simplified form as a prelude to the description below.

Aspects of the disclosure provide effective, efficient, scalable, and convenient technical solutions that address and overcome the technical problems associated with accurately evaluating instruments for authenticity and validity.

In some examples, a system, computing platform, or the like, may receive an instrument and associated data. In some examples, the instrument may have been previously evaluated or processed to determine validity and/or authenticity. In some arrangements, the associated data may include a validity rating.

The instrument may be received and a user profile may be retrieved. The user profile may include a plurality of previously processed instruments that have been determined to be valid and/or authentic. The instrument may be compared to the plurality of previously processed instruments to determine whether one or more elements of the instrument being evaluated match one or more corresponding elements of the plurality of previously processed instruments. Matching or non-matching elements may be identified. In some examples, one or more user interfaces may be generated displaying the instruments and including any highlighting or enhancements identifying matching or non-matching elements.

Users may source authentic instruments from different sources and/or production runs. Differences between such instruments may result in a false positive. In some cases, an identifier may be used to identify whether an instrument is associated with a known instrument source even when instruments from that particular source have not already been processed and included in the user profile. In some cases, authentication processes may be improved through use of a feedback loop to hold and evaluate the instruments before associated data is included in the user's profile.

These features, along with many others, are discussed in greater detail below.

