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Machine Learning for Footprint Recognition by alex is a document available to read on EtoBox.

This document discusses a machine learning based footprint recognition system. It proposes extracting geometric features from footprint images and using those features to train three machine learning algorithms: regression, classification, and artificial neural networks. The weighted KNN classification model achieved the highest accuracy of 99.5% for footprint recognition.

Author

alex

Language

EN