Detection of Text Lines of Handwritten Arabic Manuscripts using Markov Decision Processes

International Journal of Interactive Multimedia and Artificial Intelligence

关键词: Arabic Documents;    Components;    Hidden Markov Models;    Text Classification;   

DOI  :  10.9781/ijimai.2016.417

来源: DOAJ

【 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.

【 授权许可】

Unknown