Seeking very detailed, reference, and deep citations 5000 words or better research paper. The goal of the papers is to teach, compare and understand the pros and cons when it comes to image matching, specifically digital images of human marks or machine marks in the 2D realm. The paper must include the techniques and methods of 2D-Interpolation and Coordinate Matching, Template Matching, Countour Matching, Features Based Matching including feature finding techniques such as SIFT, SURF ORB, and others, Neural Networks (and the custom training of one). The paper should examine the know accuracies ratios for each technique and the ability of each technique to be scaled. The “what if” applied to explore in the research document is “what if” this was used to classify, train, evaluate, study and analyze 3,000,000 individual markings (which could be either human-made marks or machine-printed marks or even a combination thereof. Seeking any known citations for the use of these technologies for determining the origin of human or printed marks on paper. A WORKING KNOWLEDGE in the technology side of this is welcomed and tops just being a researcher writer of random topics.
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