This work introduces biometric log recognition using digital log end images and explores the robustness to a set of log end cross-section (CS) variations. In order to investigate longitudinal and surface CS variations three tree logs were sliced and captured in different sessions. A texture feature based technique well known from fingerprint recognition is adopted to compute and match biometric templates of CS images captured from log ends
