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 # The-Nipple-Areola-Complex-for-Criminal-Identification
+## Paper
 Wojciech Michal Matkowski, Krzysztof Matkowski, Adams Wai Kin Kong and Cory Lloyd Hall. The Nipple-Areola Complex for Criminal Identification. In International Conference on Biometrics (ICB), June 2019.
 
-Paper can be found now on arxiv [here](https://arxiv.org/ftp/arxiv/papers/1905/1905.11651.pdf)
+Paper can be found now on arXiv [here](https://arxiv.org/ftp/arxiv/papers/1905/1905.11651.pdf)
 
+## Dataset
+NTU-Nipple-v1 dataset contains 2732 images of 428 different male nipple-areolae (NAC) from 2 sessions in relatively well-controlled environment. \
+### How to acquire dataset?
 To acquire the NTU-Nipple-v1 dataset (which was used in the paper), download and fill in the "Data Release Agreement.pdf" file. Print the agreement and sign on page 2. Scan the signed copy and send back to matk0001@e.ntu.edu.sg, xpxu@ntu.edu.sg or adamskong@ntu.edu.sg with title "Application for NTU-Nipple-v1 dataset". A download link to the corresponding dataset will be send to you once after we receive the signed agreement file.
 
-NTU-Nipple-v1 dataset contains 2732 images of 428 different male nipple-areolae (NAC) from 2 sessions in relatively well-controlled environment. \
+### Image examples 
 Examples of images from NTU-Nipple-v1 dataset. Note that these example NAC images are resized to the same size. In NTU-Nipple-v1 dataset, NAC images have different (but still square) sizes. \
 ![alt text](https://github.com/matkowski-voy/The-Nipple-Areola-Complex-for-Criminal-Identification/blob/master/sample-images.png)\
 First row: session 1
 Second row: session 2
 
+### Results
 Currently the highest identification accuracies (under the protocol described in the paper) are:\
 75.75% at rank-1\
 94.46% at rank-15\
@@ -18,5 +23,6 @@ Currently the highest identification accuracies (under the protocol described in
 
 ![alt text](https://github.com/matkowski-voy/The-Nipple-Areola-Complex-for-Criminal-Identification/blob/master/cmc-final.png)
 
+## Questions
 If you have any questions about the paper please email me on matk0001@e.ntu.edu.sg or maskotky@gmail.com\
 "Data Release Agreement.pdf" coming soon