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BINYAS: a complex document layout analysis system
Document layout analysis (DLA) is an irreplaceable pre-requisite for the development of a comprehensive document image processing and analysis system. The main purpose of DLA is to segment an input document image into its constituent and coherent regions and identify their classes. In this paper, we...
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Published in: | Multimedia tools and applications 2021-03, Vol.80 (6), p.8471-8504 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Document layout analysis (DLA) is an irreplaceable pre-requisite for the development of a comprehensive document image processing and analysis system. The main purpose of DLA is to segment an input document image into its constituent and coherent regions and identify their classes. In this paper, we propose a competent DLA system, named as BINYAS, based on the connected component (CC) and pixel analysis based approach. Here, we initially identify the regions and then classify these regions as paragraph, separator, graphic, image, table, chart, and inverted text etc. The proposed system is evaluated on four publicly available standard datasets, namely ICDAR 2009, 2015, 2017 and 2019 page segmentation competition datasets, and the performance is compared with many contemporary methods, which also include some well-known software products and deep learning based methods. Experimental results show that our method performs significantly better than state-of-the-art methods in terms of the evaluation metrics considered by the research community of this domain. |
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ISSN: | 1380-7501 1573-7721 |
DOI: | 10.1007/s11042-020-09832-3 |