Abstract: The main objective of this research is to utilize ink analysis for the identification of forgeries in handwritten documents, particularly checks. The completion of this study involves the application of motif feature extraction techniques, including Peano scan motif, Directional local motif, and third-order recombination between RGB planes. Following Method 1, the Peano scan motif is employed. To detect ink forgeries, 112 check images were examined, each written with fourteen different pens. A MATLAB function is applied to extract features for each of the mentioned approaches. The Weka application is utilized for both testing and training to validate the accuracy of the techniques. Typically, motif approaches like Peano scan motif, Directional local motif, and third-order recombination are used for identifying comparable items in databases, such as content-based picture retrieval systems. What sets this project apart is its innovative use of ink level forgery detection. The recombination approach, involving modified color planes and the previously mentioned Peano scan motif method, introduces a novel aspect to the study.
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