candidate = FingerprintTemplate(dpi=500, image="finger2.pgm") score = matcher.match(probe, candidate)
# Python-like pseudocode from an SFG demo def extract_minutiae(image): # 1. Normalize contrast normalized = histogram_equalization(image) # 2. Binarize (convert to black and white) binary = local_threshold(normalized, block_size=16) # 3. Thinning (skeletonization) skeleton = zhang_suen_thinning(binary) # 4. Detect minutiae minutiae_list = [] for pixel in skeleton: if crossing_number(pixel) == 1: # Ridge ending minutiae_list.append(Minutiae(type='end', x=pixel.x, y=pixel.y)) elif crossing_number(pixel) == 3: # Ridge bifurcation minutiae_list.append(Minutiae(type='bifurcation', x=pixel.x, y=pixel.y)) return minutiae_list sfg demo fingerprint software source code
Fingerprint recognition is a widely used biometric modality. While many commercial SDKs exist (e.g., Griaule, Neurotechnology, Innovatrics), open-source options are limited due to sensitivity and patent restrictions. candidate = FingerprintTemplate(dpi=500, image="finger2
(commercial – demo available)