I. INTRODUCTION  
II. PORE DETECTION METHODS  
A. Handcrafted skeleton-based methods  
B. Handcrafted filtering-based methods  
C. Machine Learning approaches  
D. Hybrid Approaches  
III. DATASETS  
A. NIST SD 4 (withdrawn)  
B. PolyU HREF (withdrawn)  
C. IITI-HRF (public)  
D. L3-SF (public)  
E. Private datasets  
IV. CNN BASELINE SPECIFICATION  
V. PERFORMANCE EVALUATION  
A. Correct detection criteria  
B. Literature evaluation using PolyU-HRF  
C. Literature evaluation using L3-SF  
D. Discussion and conclusion