  The lack of a standard muzzle print database is a challenge for conducting
researches in Arabian horse identification systems. Therefore, collecting a
muzzle print images database is a crucial decision. The dataset presented in
this paper is an option for the studies that need a dataset for testing and
comparing the algorithms under development for Arabian horse identification.
Our collected dataset consists of 300 color images that were collected from 50
Arabian horse muzzle species. This dataset has been collected from 50 Arabian
horses with 6 muzzle print images each. A special care has been given to the
quality of the collected images. The collected images cover different quality
levels and degradation factors such as image rotation and image partiality for
simulating real time identification operations. This dataset can be used to
test the identification of Arabian horse system including the extracted
features and the selected classifier.

Computer Vision and Pattern Recognition