I work with machine learning for classifying land cover types (forest, grassland etc) on satellite imagery to better under changes over time, like deforestation or development. This particular paper is using edge detection outputs to classify keris types. As such this will broadly allow it to classify broad groups that can be distinguishable with 2-D profile (silhouette) information. As Ariel says, this an interesting academic exercise but certainly can't add to keris understanding which is clearly far more subtle than profile ratios.
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