Multi-script handwriting recognition with N-streams low level features

The multi-stream paradigm provides an interesting framework for the integration of multiple sources of information. In this paper, we present our multi-script recognition system using the multi-stream formalism to combine low level feature streams. We Analyze how the combination of n streams (n=2,....,4) can improve the recognition performance. Significant experiments have been carried out on two publicly available word databases: IFN/ENIT benchmark database (Arabic script) and IRONOFF database (Latin script). The proposed framework shows interesting results in both cases thanks to the use of low level features in a segmentation free approach which ensure its applicability to various scripts.