Abstract
The identification of scripts is an important step in the characters recognition. In this work, we are interested in Arabic and Latin scripts. The identification is based on an approach to character recognition. The approach is structural feature. Selected characteristics of scripts are based on the geometric shape of the characters. Evaluations are conducted on a printed document Arabic and Latin, and with the neural networks functions. The results are interesting in the case of bilingual documents.