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An invariant feature matching method is proposed as a spatially invariant feature matching approach. Deformation effects, such as affine and homography, change the local information within the image and can result in ambiguous local information pertaining to image points. New method based on dissimilarity values, which measures the dissimilarity of the features through the path based on Eigenvector properties, is proposed. Evidence shows that existing matching techniques using similaritydoi:10.1371/journal.pone.0149710 pmid:26985996 pmcid:PMC4795769 fatcat:g76hwyc7ergajcrqg7pfhhid3u