Iris Fractal & Nevi Analysis: Comparative Study of Pigment Architecture and Pathology Markers — Argira Station (v5.1)

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Abstract

Updated release v5.1. Robustness fixes applied after validation on real biometric images (Kaggle MMU NIR dataset) and synthetic simulator. Architecture unchanged — fixes improve segmentation stability across iris phenotypes and image modalities. SUBJECT A (brown iris, calibrated): 29 nevi. D_global=1.868.D_nevi=1.572±0.115. Auric Index A=0.847. p=0.993. SUBJECT B/OL (green-hazel, sectorial heterochromia, calibrated): 23 nevi. D_global=1.836. D_nevi=1.629±0.086. Auric Index A=0.840. p=0.999. SYNTHETIC VALIDATION (brown_dark, golden_org=0.78 injected):Auric Index A=0.847 recovered. p=0.963. D_global=1.849.Confirms Auric Index correctly measures golden angle organization. EXTERNAL VALIDATION (Kaggle MMU NIR, 2…

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Topics & keywords

Keywords
  • Segmentation
  • Biometrics
  • Robustness (evolution)
  • IRIS (biosensor)
  • Pattern recognition (psychology)
  • Fractal
  • Image segmentation
  • Architecture
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