期刊名称:International Journal of Interactive Multimedia and Artificial Intelligence
印刷版ISSN:1989-1660
出版年度:2016
卷号:4
页码:31-36
DOI:10.9781/ijimai.2016.417
出版社:ImaI-Software
摘要:In a character recognition systems, the segmentation phase is critical since the accuracy of the recognition depend strongly on it. In this paper we present an approach based on Markov Decision Processes to extract text lines from binary images of Arabic handwritten documents. The proposed approach detects the connected components belonging to the same line by making use of knowledge about features and arrangement of those components. The initial results show that the system is promising for extracting Arabic handwritten lines.