Text extraction method for historical Tibetan document images based on block projections |
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| Authors: | DUAN Li-juan ZHANGXi-qun MALong-long WUJian |
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| Affiliation: | Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China;Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data, Beijing University of Technology, Beijing 100124, China,Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China;Beijing Key Laboratory of Trusted Computing, Beijing University of Technology, Beijing 100124, China,Chinese Information Processing Laboratory, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China and Chinese Information Processing Laboratory, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China |
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| Abstract: | Text extraction is an important initial step in digitizing the historical documents. In this paper, we present a text extraction method for historical Tibetan document images based on block projections. The task of text extraction is considered as text area detection and location problem. The images are divided equally into blocks and the blocks are filtered by the information of the categories of connected components and corner point density. By analyzing the filtered blocks’ projections, the approximate text areas can be located, and the text regions are extracted. Experiments on the dataset of historical Tibetan documents demonstrate the effectiveness of the proposed method. |
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