  In this paper, we propose a robust approach for text extraction and
recognition from Arabic news video sequence. The text included in video
sequences is an important needful for indexing and searching system. However,
this text is difficult to detect and recognize because of the variability of
its size, their low resolution characters and the complexity of the
backgrounds. To solve these problems, we propose a system performing in two
main tasks: extraction and recognition of text. Our system is tested on a
varied database composed of different Arabic news programs and the obtained
results are encouraging and show the merits of our approach.
