IEICE TRANSACTIONS on Information
Logical Structure Analysis of Document Images Based on Emergent Computation
Summary :
A new method for logical structure analysis of document images is proposed in this paper as the basis for a document reader which can extract logical information from various printed documents. The proposed system consists of five basic modules: text line classification, object recognition, object segmentation, object grouping, and object modification. Emergent computation, which is a key concept of artificial life, is adopted for the cooperative interaction among modules in the system in order to achieve effective and flexible behavior of the whole system. It has three principal advantages over other methods: adaptive system configuration for various and complex logical structures, robust document analysis tolerant of erroneous feature detection, and feedback of high-level logical information to the low-level physical process for accurate analysis. Experimental results obtained for 150 documents show that the method is adaptable, robust, and effective for various document structures.
- Publication
- IEICE TRANSACTIONS on Information Vol.E88-D No.8 pp.1831-1842
- Publication Date
- 2005/08/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietisy/e88-d.8.1831
- Type of Manuscript
- Special Section PAPER (Special Section on Document Image Understanding and Digital Documents)
- Category
- Document Structure
Authors
Keyword
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Yasuto ISHITANI, "Logical Structure Analysis of Document Images Based on Emergent Computation" in IEICE TRANSACTIONS on Information,
vol. E88-D, no. 8, pp. 1831-1842, August 2005, doi: 10.1093/ietisy/e88-d.8.1831.
Abstract: A new method for logical structure analysis of document images is proposed in this paper as the basis for a document reader which can extract logical information from various printed documents. The proposed system consists of five basic modules: text line classification, object recognition, object segmentation, object grouping, and object modification. Emergent computation, which is a key concept of artificial life, is adopted for the cooperative interaction among modules in the system in order to achieve effective and flexible behavior of the whole system. It has three principal advantages over other methods: adaptive system configuration for various and complex logical structures, robust document analysis tolerant of erroneous feature detection, and feedback of high-level logical information to the low-level physical process for accurate analysis. Experimental results obtained for 150 documents show that the method is adaptable, robust, and effective for various document structures.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e88-d.8.1831/_p
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@ARTICLE{e88-d_8_1831,
author={Yasuto ISHITANI, },
journal={IEICE TRANSACTIONS on Information},
title={Logical Structure Analysis of Document Images Based on Emergent Computation},
year={2005},
volume={E88-D},
number={8},
pages={1831-1842},
abstract={A new method for logical structure analysis of document images is proposed in this paper as the basis for a document reader which can extract logical information from various printed documents. The proposed system consists of five basic modules: text line classification, object recognition, object segmentation, object grouping, and object modification. Emergent computation, which is a key concept of artificial life, is adopted for the cooperative interaction among modules in the system in order to achieve effective and flexible behavior of the whole system. It has three principal advantages over other methods: adaptive system configuration for various and complex logical structures, robust document analysis tolerant of erroneous feature detection, and feedback of high-level logical information to the low-level physical process for accurate analysis. Experimental results obtained for 150 documents show that the method is adaptable, robust, and effective for various document structures.},
keywords={},
doi={10.1093/ietisy/e88-d.8.1831},
ISSN={},
month={August},}
Copy
TY - JOUR
TI - Logical Structure Analysis of Document Images Based on Emergent Computation
T2 - IEICE TRANSACTIONS on Information
SP - 1831
EP - 1842
AU - Yasuto ISHITANI
PY - 2005
DO - 10.1093/ietisy/e88-d.8.1831
JO - IEICE TRANSACTIONS on Information
SN -
VL - E88-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2005
AB - A new method for logical structure analysis of document images is proposed in this paper as the basis for a document reader which can extract logical information from various printed documents. The proposed system consists of five basic modules: text line classification, object recognition, object segmentation, object grouping, and object modification. Emergent computation, which is a key concept of artificial life, is adopted for the cooperative interaction among modules in the system in order to achieve effective and flexible behavior of the whole system. It has three principal advantages over other methods: adaptive system configuration for various and complex logical structures, robust document analysis tolerant of erroneous feature detection, and feedback of high-level logical information to the low-level physical process for accurate analysis. Experimental results obtained for 150 documents show that the method is adaptable, robust, and effective for various document structures.
ER -
English
