Next, as shown in block 408, the process flow includes determining one or more matches between the one or more features associated with the one or more images of the query and the one or more features associated with the one or more high resolution images. In some embodiments, the system may be configured to determine the one or more matches between the one or more images of the query and at least the portion of the one or more features associated with the one or more high resolution images identified within the scale at each of the one or more predetermined incremental steps. Following the previous example, a match is determined when a significant portion of the features in the image of the query matches a significant portion of the high resolution document with a sufficiently high similarity index. In some embodiments, the system may be configured to determine the similarity index between the one or more features associated with the image of the query and the one or more features associated with the one or more high resolution images associated with the one or more documents based on at least a distance analysis. In one aspect, the distance analysis may be based on one or more distance measures, such as, Euclidean distance, Manhattan distance, Pearson Correlation distance, cosine distance, Spearman correlation distance, and/or the like. Accordingly, the system may be configured to compare the similarity index of the matching between the features of the image of the query with the features of the high resolution image to a predetermined similarity threshold. In one aspect, the predetermined similarity threshold may be a threshold distance measure. A lower threshold distance indicates that the features are closer to each other and are thus have a higher similarity index. On the other hand, a higher threshold distance indicates that the features are farther away from each other and thus have a lower similarity index. In addition, the system may be configured to compare the number of features of the image of the query that match the features of the high resolution image with a threshold number to determine whether the query is identified in the document. If both the number of features and the similarity index meet their respective predetermined thresholds, then the system may be configured to determine a match.