Abstract: Robust recognition systems to identify potentially identifying information that is contained within a dataset representing a system target are disclosed, together with related method. In an implementations, the systems and methods receive the dataset, identify features in the dataset that have a characteristic indicative of an expected feature, processes the identified features to yield a candidate feature, wherein the candidate feature is one feature contained within the identified features that has the highest probability of containing potentially identifying information.

Abstract: Robust recognition systems to identify potentially identifying information that is contained within a dataset representing a system target are disclosed, together with related method. In an implementations, the systems and methods receive the dataset, identify features in the dataset that have a characteristic indicative of an expected feature, processes the identified features to yield a candidate feature, wherein the candidate feature is one feature contained within the identified features that has the highest probability of containing potentially identifying information.

Abstract: Systems and methods to prevent a recognition system from identifying one or more features contained in a dataset that are associated with potentially identifying information is disclosed. The dataset is received by the recognition system and includes information representing a system target, the recognition system is programmed to identify features in the dataset that are likely to be associated with potentially identifying information by comparing features contained in the dataset against features expected by the recognition system, wherein, upon location of features in the dataset that are similar to the features expected by the recognition system, the recognition system seeks to ascertains information associated therewith in an effort to obtain the potentially identifying information.