This paper describes the Arabic handwriting recognition competition held at ICDAR 2009. This third competition (the first was at ICDAR 2005 and the second at ICDAR 2007) again used the IfN/ENIT-database with Arabic handwritten Tunisian town names. Today, more than 82 research groups from universities, research centers, and industry are working with this database worldwide. This year, 7 groups with 17 systems were participating in the competition. The systems were tested on known data and on two data sets which are unknown to the participants. The systems were compared based on the most important characteristic: the recognition rate. Additionally, the relative speed of the different systems was compared. A short description of the participating groups, their systems, and the results achieved are finally presented.