The performance evaluation will be based on a well established technique for writer identification. More specifically, we plan to calculate the number of documents that were assigned to the correct writer in terms of TOP-N choice. The participant will be asked to provide a console application that will produce the distance between two handwritten document images. For every document in the benchmarking dataset, the distance among all documents in this dataset will be calculated using the tool. A ranked list will be produced and the evaluation will record the accuracy of the participant's methodology in terms of TOP-1, TOP-10 and TOP-N choice (N is the number of handwritten document images created by the same writer).