-
Notifications
You must be signed in to change notification settings - Fork 2
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
1 parent
30bca10
commit bbff505
Showing
1 changed file
with
8 additions
and
2 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,22 +1,28 @@ | ||
# 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 [email protected], [email protected] or [email protected] 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\ | ||
96.54% at rank-30 | ||
|
||
![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 [email protected] or [email protected]\ | ||
"Data Release Agreement.pdf" coming soon |