For Tsallis Entropy Correlation, the maximum accuracy was achieved with an entropy dimension (ED) of 1.5. Detailed information about the effects of noise removal, weight factor transformation, and low-entropy threshold for the three processing orders on identification accuracy is shown in Supplementary Table . Overall, CWM and CMW demonstrated the highest accuracy across all three similarity measures, with Cosine Correlation achieving the highest accuracy of 69.07%. Specifically, all three correlation measures attained their maximum accuracy when the weight factor transformation was performed after centroiding and noise removal. Tsallis Entropy Correlation achieved its maximum accuracy even when the weight factor transformation was performed after centroiding and noise removal and before matching. As expected, the accuracies were the same regardless of the processing orders when the weight factor transformation was not employed. In this case, Tsallis Entropy Correlation performed the best, while Cosine Correlation showed the smallest accuracy.