StepPrint
Biometric foot-recognition research prototype — exploring feature extraction and matching for foot-based identification.

StepPrint is a research prototype exploring foot-print biometrics as an identification method — an uncommon alternative to the face and fingerprint recognition most biometric systems default to. Foot-based biometrics have far less established tooling and research behind them, so the feature-extraction and matching pipeline had to be built largely from first principles rather than adapted from an off-the-shelf model: image preprocessing to normalize input, key-point and shape-based feature extraction, and a similarity-based matching algorithm for comparing samples.
Validated against a small labeled evaluation set to measure real accuracy rather than relying on qualitative impressions — a working proof-of-concept demonstrating the feasibility of foot-based biometric matching as a research direction.