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.
@article{arxiv.1308.3243,
title = {Arabic Text Recognition in Video Sequences},
author = {M. Ben Halima and H. Karray and A. M. Alimi},
journal= {arXiv preprint arXiv:1308.3243},
year = {2013}
}
Comments
10 pages - International Journal of Computational Linguistics Research. arXiv admin note: substantial text overlap with arXiv:1211.2150