Segmentation and classification of mixed text/graphics/image documents
Pattern Recognition Letters
Document layout analysis using recursive morphological transforms
Document layout analysis using recursive morphological transforms
The Document Spectrum for Page Layout Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Document Layout Analysis Based on Emergent Computation
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Page Segmentation Using Document Model
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
A rule learning method for academic document image processing
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Part-of-Speech Tagging for Table of Contents Recognition
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Structuring documents according to their table of contents
Proceedings of the 2005 ACM symposium on Document engineering
Identification of Document Structure and Table of Content in Magazine Archives
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Multi-page document analysis based on format consistency and clustering
International Journal of Computer Applications in Technology
Extraction of index components based on contents analysis of journal's scanned cover page
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Challenges in generating bookmarks from TOC entries in e-books
Proceedings of the 2012 ACM symposium on Document engineering
A Unified Algorithm for Identification of Various Tabular Structures from Document Images
International Journal of Digital Library Systems
| Hi-index | 0.00 |
With an aim to extract the structural information fromthe table of contents (TOC) to help develop digital documentlibrary the requirement of identifying/segmenting theTOC page is obvious. The objective to create digital documentlibrary is to provide a non-labour intensive, cheapand flexible way of storing, representing and managing thepaper document in electronic form to facilitate indexing,viewing, printing and extracting the intended portions. Informationfrom the TOC pages be extracted to use in documentdatabase for effective retrieval of the required pages.In this paper we present fully auotmatic identification andsegmentation of table of contents (TOC) page from scanneddocument.