Animal recognition is an active research topic in recent years. Horse’s recognition is an important task in the world and in order to promote horse’s recognition research, the Tunisian Research Groups in Intelligent Machines of University of Sfax (REGIM of Sfax) will provide the Tunisian Horses DataBase of Regim Lab’2015 (THoDBRL’2015) freely of charge to mainly horses’ face recognition researchers and to increase total of researches done to enhance animal recognition. This Database is used in . The main objective of the construction of this database is to identify horses keeping its natural behavior without any direct ontact between the animal and the camera.
THoDBRL’2015 database is a multiview horses’ faces database, which is created in March 2015. Images of 47 horses’ faces were captured from four equestrian centers in Sfax (a south town in Tunisia) during 3 days in daylight. The size of the database is 4.67Go and contains 2820 images.
All documents and papers that uses the Tunisian Horses DataBase of Regim Lab’2015 (THoDBRL’2015) will acknowledge the use of the database by including an appropriate citation to the following:
 Islem Jarraya, Wael Ouarda, and Adel M. Alimi. "A preliminary investigation on horses recognition using facial texture features." In 2015 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2803-2808. IEEE, 2015.