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This paper describes the Arabic handwriting recognition competition held at ICDAR 2007. This second competition (the first was at ICDAR 2005) again uses the IFN/ENIT- database with Arabic handwritten Tunisian town names. Today, more than 54 research groups from universities, re- search centers, and industry are working with this database worldwide. This year, 8 groups with 14 systems are par- ticipating in the competition. The systems were tested on known data and on two datasets which are unknown to the participants. The systems are compared on the most impor- tant characteristic, the recognition rate. Additionally, the relative speed of the different systems were compared. A short description of the participating groups, their systems, and the results achieved are finally presented.