A system for extracting the textual information from document images with complex layouts is presented. It is based on both layout analysis and text localization techniques. Layout analysis is first applied to segment the page in text and non-text blocks and then text localization is used to detect text that may be embedded inside images, charts, diagrams, tables etc. Detailed experiments on scanned Arabic newspapers showed that combining layout analysis and text localization methods can lead to improved page segmentation and text extraction results.
CITATION STYLE
Vasilopoulos, N., Wasfi, Y., & Kavallieratou, E. (2018). Automatic Text Extraction from Arabic Newspapers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10882 LNCS, pp. 505–510). Springer Verlag. https://doi.org/10.1007/978-3-319-93000-8_57
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