Abstract: A system for identifying tags comprises an imaging sensor and a processor. The imaging sensor acquires image(s) of tag(s) from light reflected from the tag(s) on a tagged item. The processor is configured to: receive the image(s) and a library of tag types; using the image(s), determine feature metrics using a machine learning algorithm and is based on an image processing, manipulation, and/or correction; using the feature metrics and the library of tag types, determine a tag type of the tag(s) in the image(s) based on a local maxima determination, a bounding box generation, a tag candidate patch extraction, a tag candidate segmentation, a tag candidate feature metric determination, and/or a comparison to a model; determine a confidence level of the tag type; and in response to the confidence level being above a threshold level, provide the tag type determined.