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This document discusses fingerprint classification using template matching and Euclidean distance. It begins with an introduction to fingerprint recognition and classification. The goal is to classify fingerprints into six classes (plain arch, tented arch, ulnar loop, radial loop, plain whorl, double loop) using template matching and Euclidean distance. Template matching is used to match input fingerprints to fingerprint templates, while Euclidean distance measures the similarity between fingerprints. The r

Author

Faiz Ramdani B

Language

EN